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Statistical Object Recognition William M. Wells III Copyright c Massachusetts Institute of Technology, 1993 Statistical Object Recognition by William Mercer Wells III Submitted to the Department of Electrical Engineering and Computer Science on November 24, 1992, in partial fulfillment of the
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Automated Qualitative Modeling of Dynamic Physical Systems Jonathan Amsterdam January 1993 This work has been supported in part by research grant no. R01 LM 04493 and by Medical Informatics training grant no. T 15 LM 07092 from the National Library of Medicine. This report describes research done at the
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Robust Photo-topography by Fusing Shape-from-Shading and Stereo by Clay Matthew Thompson B.S.A.A., University of Washington (1983) M.S., Stanford University (1984) Submitted to the Department of Mechanical Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy at
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1421 March, 1993 Application of Change Detection to Dynamic Contact Sensing Brian Eberman J. Kenneth Salisbury, Jr.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1403 February, 1993 Causal Reconstruction Gary C. Borchardt
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A Method for Eliminating Skew Introduced by Non-uniform Buffer Delay and Wire Lengths in Clock Distribution Trees. Henry M. Wu Artificial Intelligence Laboratory and Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology A.I. Memo No. 1422 April, 1993
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1373 July, 1992 Distance Metric between 3D Models and 2D Images for Recognition and Classification Ronen Basri and Daphna Weinshall
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1376 September, 1992 Localization and Positioning using Combinations of Model Views Ehud Rivlin and Ronen Basri
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1391 December, 1992 Recognition by Prototypes Ronen Basri
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1370 January, 1993 Equivalence and Reduction of Hidden Markov Models Vijay Balasubramanian (email: vijayb@ai.mit.edu) Copyright c Massachusetts Institute of Technology, 1993 This report describes research
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Recognizing 3-D Objects Using 2-D Images by David W. Jacobs Revised version of a thesis submitted to the Department of Electrical Engineering And Computer Science in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy at the Massachusetts Institute of Technology in September
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Internal Camera Calibration using Rotation and Geometric Shapes by Gideon P. Stein Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Electrical Engineering and Computer Science at the MASSACHUSETTS
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Draft dated June 3, 1993 1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1318 December, 1992 June, 1993 Multi-Scale Vector-Ridge-Detection for Perceptual Organization Without Edges J. Brian Subirana-Vilanova and Kah Kay Sung Email: subirana@ai.mit.edu,
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Maygen: A Symbolic Debugger Generation System by Christine L. Tsien S.B. Computer Science and Engineering, Massachusetts Institute of Technology (1991) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1414 April 1993 Exploiting the Parallelism Exposed by Partial Evaluation Andrew A. Berlin and Rajeev J. Surati
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A Method for Skew-free Distribution of Digital Signals Using Matched Variable Delay Lines Thomas Knight and Henry M. Wu Artificial Intelligence Laboratory and Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology A.I. Memo No. 1282 March, 1992
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1435 July, 1993 Why Stereo Vision is Not Always About 3D Reconstruction W. Eric L. Grimson
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1439 August, 1993 Building Brains for Bodies Rodney A. Brooks and Lynn Andrea Stein
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1224 February, 1990 Fat-Tree Routing for Transit Andr e DeHon andre@ai.mit.edu
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1 Robust and Efficient 3D Recognition by Alignment by Tao Daniel Alter Submitted to the Department of Electrical Engineering and Computer Science on September 8, 1992, in partial fulfillment of the requirements for the degree of Master of Science
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1377 July 1993 A Parallelizing Compiler Based on Partial Evaluation Rajeev Surati Copyright c Massachusetts Institute of Technology, 1993 This report describes research done at the Artificial Intelligence
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1445 September, 1993 Robust, High-Speed Network Design for Large-Scale Multiprocessing Andr e DeHon andre@ai.mit.edu
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1363 September, 1992 Projective Structure from two Uncalibrated Images: Structure from Motion and Recognition Amnon Shashua
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL COMPUTATIONAL LEARNING WHITAKER COLLEGE A.I. Memo No. 1405 July, 1993 C.B.C.L. Paper No. 78 On Geometric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views Amnon Shashua
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The Design of Shape from Motion Constraints by Michael Edward Caine Revised version of a thesis submitted to the Department of Mechanical Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mechanical Engineering at the Massachusetts Institute of Technology
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1427 October, 1993 Translucent Procedures, Abstraction without Opacity Guillermo J. Rozas Copyright c Massachusetts Institute of Technology, 1993 This report describes research done at the Artificial
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1293 April, 1991 Intelligence Without Reason Rodney A. Brooks Prepared for Computers and Thought, IJCAI-91
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Synthesizing Regularity Exposing Attributes in Large Protein Databases by Michael de la Maza mdlm@ai.mit.edu B.S., Massachusetts Institute of Technology (1992) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master
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Explorations of the Practical Issues of Learning Prediction-Control Tasks Using Temporal Difference Learning Methods Charles L. Isbell submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Science in Computer
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1441 August 6, 1993 C.B.C.L. Memo No. 84 On the Convergence of Stochastic Iterative Dynamic Programming Algorithms Tommi
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1458 November 18, 1993 C.B.C.L. Memo No. 87 Convergence Results for the EM Approach to Mixtures of Experts Architectures
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1440 August 6, 1993 C.B.C.L. Memo No. 83 Hierarchical Mixtures of Experts and the EM Algorithm Michael I. Jordan and
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AMAR: A Computational Model of Autosegmental Phonology by Daniel M. Albro Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering at the MASSACHUSETTS INSTITUTE OF
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Why are There so Few Female Computer Scientists c 1991 Ellen Spertus
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL COMPUTATIONAL LEARNING WHITAKER COLLEGE A.I. Memo No. 1449 November, 1993 C.B.C.L. Paper No. 86 Formalizing Triggers: A Learning Model for Finite Spaces Partha Niyogi and Robert C. Berwick
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A Radial Basis Function Approach to Financial Time Series Analysis by James M. Hutchinson Master of Science in EECS, Massachusetts Institute of Technology (1986) Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degree of Doctor
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1461 December, 1993 C.B.C.L. Paper No. 89 Face Recognition Under Varying Pose David J. Beymer email: beymer@ai.mit.edu
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. TR-1451 September 1993 Emacs Lisp in Edwin Scheme by Matthew Birkholz Copyright c Matthew Birkholz, 1993 This report is a revised version of a thesis submitted to the Department of Electrical Engineering and Computer
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No. 1432 August 1993 C.B.C.L. Paper No. 81 CONDITIONS FOR VIEWPOINT DEPENDENT FACE RECOGNITION Philippe G. Schyns & Heinrich H. B ulthoff
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1395 October, 1992 Limitations of Geometric Hashing in the Presence of Gaussian Noise Karen B. Sarachik
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1378 July, 1992 3D Pose from 3 Corresponding Points under Weak-Perspective Projection T. D. Alter
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1 SITE CONTROLLER: A system for computer-aided civil engineering and construction. by Philip Greenspun
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL COMPUTATIONAL LEARNING WHITAKER COLLEGE A.I. Memo No. 1452 January, 1994 C.B.C.L. Paper No. 90 Algebraic Functions For Recognition Amnon Shashua
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An Analysis of the Effect of Gaussian Error in Object Recognition by Karen Beth Sarachik B.A., Barnard College (1983) S.M., Massachusetts Institute of Technology (1989) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of
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A Vector Signal Processing Approach to Color by Kah-Kay Sung Submitted to the Department of Electrical Engineering and Computer Science on January 10, 1992 in partial fulfillment of the requirements for the Degrees of Electrical Engineer and Master of Science in Electrical Engineering and Computer
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1437 March 10, 1994 C.B.C.L. Memo No. 82 Geometric Structure of the Adaptive Controller of the Human Arm Reza Shadmehr
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Feature Extraction Without Edge Detection Ronald Dean Chaney c Massachusetts Institute of Technology 1993 All rights reserved 2 3 Feature Extraction Without Edge Detection by Ronald Dean Chaney Submitted to the Department of Electrical Engineering and Computer Science on August 6, 1993 in partial
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY Technical Report 1459 August, 1993 The Named-State Register File Peter Robert Nuth The Named-State Register File Peter Robert Nuth Bachelor of Science in Electrical Engineering and Computer Science, MIT 1983 Master of Science in
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1467 February, 1994 C.B.C.L. Memo No. 88 On the Relationship Between Generalization Error, Hypothesis Complexity, and
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. T.R. No. 1453 January, 1994 Methods for Parallelizing Search Paths in Parsing Carl de Marcken cgdemarc@ai.mit.edu Many search problems are commonly solved with simple combinatoric algorithms that unnecessarily duplicate and
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No. 1375 October 1993 C.B.C.L. Paper No. 74 Optical Flow from 1D Correlation: Application to a simple Time-To-Crash Detector Nicola Ancona and Tomaso Poggio
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No.1404 December 1993 C.B.C.L. Paper No. 77 Observations on Cortical Mechanisms for Object Recognition and Learning Tomaso Poggio and Anya Hurlbert
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Robust Agent Control of an Autonomous Robot with Many Sensors and Actuators Cynthia Ferrell1 ferrell@ai.mit.edu Massachusetts Institute of Technolgy A revised version of the thesis submitted in partial fulfillment of the requirements of the degree of Master of Science in Electrical Engineering and
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Probabilistic Analysis of Multistage Interconnection Network Performance Patrick G. Sobalvarro S.B. Massachusetts Institute of Technology (1988) Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in Electrical Engineering and Computer Science at the Massachusetts
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No. 1409 December 1992 C.B.C.L. Paper No. 76 3D Object Recognition: Symmetry and Virtual Views T. Vetter, T. Poggio and H. B ulthoff
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1463 February, 1994 Object Recognition by Alignment using Invariant Projections of Planar Surfaces Kenji NAGAO W. Eric. L. GRIMSON This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. The
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1462 March, 1994 Garbage Collection is Fast, But a Stack is Faster James S. Miller (JMiller@zurich.ai.mit.edu) and Guillermo J. Rozas (gjr@zurich.ai.mit.edu) This publication can be retrieved by anonymous ftp to
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A. I. Memo 1227 April, 1990 The Behavior Language; User's Guide Rodney A. Brooks
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL INFORMATION PROCESSING WHITAKER COLLEGE A.I. Memo No.1168 April 1994 C.B.I.P. Paper No. 37 Continuous Stochastic Cellular Automata That Have a Stationary Distribution and No Detailed Balance Tomaso Poggio
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Using Recurrent Networks for Dimensionality Reduction by Michael J. Jones Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September
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Naive Physics, Event Perception, Lexical Semantics, and Language Acquisition by Jeffrey Mark Siskind B.A. Computer Science (1979) Technion, Israel Institute of Technology S.M. Electrical Engineering and Computer Science (1989) Massachusetts Institute of Technology Submitted to the Department of
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No. 1472 April 1994 C.B.C.L. Paper No. 94 View-based Models of 3D Object Recognition and Class-specific Invariances Nikos K. Logothetis, Thomas Vetter, Anya Hurlbert
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A Lifetime-based Garbage Collector for LISP Systems on General-Purpose Computers Patrick G. Sobalvarro Submitted in Partial Fulfillment of the Requirements of the Degree of Bachelor of Science in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology September 1988 c
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No. 1473 April 1994 C.B.C.L. Paper No. 95 Viewer-Centered Object Recognition in Monkeys N.K. Logothetis, J. Pauls and T. Poggio
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No. 1471 April 1994 C.B.C.L. Paper No. 92 A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks James M. Hutchinson, Andrew Lo and
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1362 July 10, 1992 Recognizing 3D Objects from 2D Images: An Error Analysis W. Eric L. Grimson, Daniel P. Huttenlocher1 & T.D. Alter
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1487 May, 1994 Partial Evaluation for Scientific Computing: The Supercomputer Toolkit Experience Andrew Berlin berlin@parc.xerox.com Rajeev Surati raj@martigny.ai.mit.edu This publication can be retrieved by anonymous
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1392 October 1992 Analytical Representation of Contours Ronald D. Chaney
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING WHITAKER COLLEGE A.I. Memo No. 1448 June, 1994 C.B.C.L. Paper No. 85 The Quadric Reference Surface: Theory and Applications Amnon Shashua and Sebastian Toelg
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Geometry and Photometry in 3D Visual Recognition by Amnon Shashua B.Sc., Tel-Aviv University, Israel (1986) M.Sc., Weizmann Institute of Science, Israel (1989) Submitted to the Department of Brain and Cognitive Sciences in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy at
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1327 December, 1991 Correspondence and Affine Shape from two Orthographic Views: Motion and Recognition Amnon Shashua
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL INFORMATION PROCESSING WHITAKER COLLEGE A.I. Memo No.1140 July 1989 C.B.I.P. Paper No. 31 A Theory of Networks for Approximation and Learning Tomaso Poggio and Federico Girosi
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL INFORMATION PROCESSING WHITAKER COLLEGE A.I. Memo No. 1164 October 1989 C.B.I.P. Paper No. 45 Networks and the Best Approximation Property Federico Girosi and Tomaso Poggio
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No.1430 June 1993 C.B.C.L. Paper No. 75 Priors, Stabilizers and Basis Functions: from regularization to radial, tensor and additive splines Federico Girosi, Michael Jones and Tomaso Poggio
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1479 April, 18 1994 C.B.C.L. Paper No. 96 How are three-dimensional objects represented in the brain Heinrich H. B
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING WHITAKER COLLEGE A.I. Memo No. 1489 June, 1994 C.B.C.L. Paper No. 97 Relative Affine Structure: Canonical Model for 3D from 2D Geometry and Applications Amnon Shashua and Nassir
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1431 November, 1993 C.B.C.L. Paper No. 80 Example Based Image Analysis and Synthesis D. Beymer, A. Shashua and T. Poggio
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1492 June, 1994 Logging and Recovery in a Highly Concurrent Database John Sidney Keen Internet: johnk@ai.mit.edu This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. The pathname
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Interaction and Intelligent Behavior by Maja J Matari c Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY May 1994 c Massachusetts Institute of
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1447 August, 1994 C.B.C.L. Memo No. 101 Forecasting Global Temperature Variations by Neural Networks Takaya Miyano and
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1494 June, 1994 C.B.C.L. Memo No. 100 Towards an Example-Based Image Compression Architecture for Video-Conferencing
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report 1493 June, 1994 SodaBot: A Software Agent Environment and Construction System Michael H. Coen mhcoen@ai.mit.edu This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. Copyright c
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Automated Reasoning About Classical Mechanics by Leon Chih Wen Wong Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Science in Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY May 1994 c
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1491 June 16, 1994 C.B.C.L. Paper No. 99 Neural Network Exploration Using Optimal Experiment Design David A. Cohn
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1474 March, 1994 C.B.C.L. Memo No. 93 Piecemeal Learning of an Unknown Environment Margrit Betke Ronald L. Rivest Mona
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1414A May, 1994 Exploiting the Parallelism Exposed by Partial Evaluation Rajeev Surati raj@martigny.ai.mit.edu Andrew Berlin berlin@parc.xerox.com This publication can be retrieved by anonymous ftp to
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1468 May, 1994 C.B.C.L. Paper No. 98 Trajectory mapping (`TM'): A new non-metric scaling technique Whitman Richards and
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1330 July, 1994 Review of Artificial Muscle based on Contractile Polymers David L. Brock
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1331 December, 1994 Dynamic Model and Control of an Artificial Muscle based on Contractile Polymers David L. Brock
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1498 August, 1994 Computing 3-D Motion in Custom Analog and Digital VLSI by Lisa G. Dron This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1485 November, 1994 Parallel simulation of subsonic fluid dynamics on a cluster of workstations Panayotis A. Skordos pas@ai.mit.edu This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1509 December 10,1994 C.B.C.L. Paper No. 108 Learning from incomplete data Zoubin Ghahramani and Michael I. Jordan
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No. 1521 December, 1994 C.B.C.L. Paper No. 112 Example-based Learning for View-based Human Face Detection Kah-Kay Sung and Tomaso Poggio This publication can be
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1499 November, 1994 C.B.C.L. Memo No. 102 Estimation of Pose and Illuminant Direction for Face Processing Roberto
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1522 January 9, 1995 C.B.C.L. Paper No. 110 Active Learning with Statistical Models David A. Cohn, Zoubin Ghahramani, and
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The Role of Chemical Mechanisms in Neural Computation and Learning by Martha Jean Hiller S.B., Massachusetts Institute of Technology (1987) S.M., Massachusetts Institute of Technology (1987) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL INFORMATION PROCESSING WHITAKER COLLEGE A.I. Memo No. 1288 April 1995 C.B.I.P. Paper No. 73 Convergence Rates of Approximation by Translates Federico Girosi and Gabriele Anzellotti
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1397 January, 1993 Complexity as a Scale-Space for the Medial Axis Transform Ronald D. Chaney This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1512 December, 1994 C.B.C.L. Paper No. 103 Cooperative physics of fly swarms: an emergent behavior M. Poggio and T.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1520 January 17, 1995 C.B.C.L. Paper No. 111 On Convergence Properties of the EM Algorithm for Gaussian Mixtures Lei Xu
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1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. TR No. 1527 January, 1995 Modeling flue pipes: subsonic flow, lattice Boltzmann, and parallel distributed computers Panayotis A. Skordos This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1415 October, 1994 C.B.C.L. Memo No. 105 Pattern motion perception: feature tracking or integration of component motions
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Specialization of Perceptual Processes Ian D. Horswill December 6, 1994
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1506 November, 1994 C.B.C.L. Memo No. 104 Reciprocal interactions between motion and form perception Pawan Sinha This
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Asymptotically Zero Energy Computing Using Split-Level Charge Recovery Logic by Saed G. Younis S.B. Electrical Engineering, Massachusetts Institute of Technology (1986) M.S. Electrical Engineering and Computer Science, Massachusetts Institute of Technology (1989) Submitted to the Department of
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1513 May 5, 1995 Learning Models of Environments with Manifest Causal Structure Ruth Bergman ruth@ai.mit.edu This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. Copyright c Massachusetts
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Mid-Level Vision and Recognition of Non-Rigid Objects by J. Brian Subirana-Vilanova Master of Science in Management, Massachusetts Institute of Technology (1993) Llicenciat en Inform atica, Universitat Polit ecnica de Catalunya (1987) Submitted to the Department of Electrical Engineering and Computer
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1514 March, 1995 C.B.C.L. Paper No. 113 Active Learning by Sequential Optimal Recovery Partha Niyogi This publication can
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1533 MARCH, 1995 C.B.C.L. Paper No. 120 Spatial Reference Frames for Object Recognition Tuning for Rotations in Depth
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1523 February, 1995 Recognizing 3D Objects Using Photometric Invariant Kenji NAGAO W. Eric. L. GRIMSON This publication can be retrieved by anonymous ftp to publication.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. TR No. 1543 May, 1995 Contact Sensing: A Sequential Decision Approach to Sensing Manipulation Contact Features Brian Eberman This publication can be retrieved by anonymous ftp to publications.ai.mit.edu
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1532 March, 1995 The M{Machine Multicomputer Marco Fillo, Stephen W. Keckler, William J. Dally, Nicholas P. Carter, Andrew Chang, Yevgeny Gurevich, Whay S. Lee This publication can be retrieved by anonymous ftp to
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1535 April, 1995 Submitted to ISMA 95, International Symposium on Musical Acoustics Comparison between subsonic flow simulation and physical measurements of flue pipes Panayotis A. Skordos and Gerald Jay Sussman This
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1530 March, 1995 C.B.C.L. Paper No. 118 A Note on Zipf's Law, Natural Languages, and Noncoding DNA Regions Partha Niyogi
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1476 December, 1994 Uncertainty Propagation in Model-Based Recognition D. W. Jacobs T. D. Alter This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1544 January 1995 Enhanced Reality Visualization in a Surgical Environment J.P. Mellor jpmellor@ai.mit.edu This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1541 May, 1995 Parameter Estimation in Chaotic Systems Elmer S. Hung This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1534 April, 1995 Submitted to ACM/IEEE Supercomputing 95 Aeroacoustics on Non-Dedicated Workstations Panayotis A. Skordos pas@ai.mit.edu This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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The Role of Fixation and Visual Attention in Object Recognition by Aparna Lakshmi Ratan Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering at the MASSACHUSETTS
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Embodiment and Manipulation Learning Process for a Humanoid Hand by Yoky Matsuoka B.S., University of California, Berkeley (1993) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Science at the MASSACHUSETTS
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1504 March, 1995 Passive Dynamics in the Control of Gymnastic Maneuvers Robert R. Playter This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1542 May, 1995 Three Cuts for Accelerated Interval Propagation D. McAllester MIT AI Lab Technology Square, 545 Cambridge, USA dam@ai.mit.edu P. Van Hentenryck Brown University Box 1910 Providence, RI 02912
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1548 June, 1995 Alignment by Maximization of Mutual Information Paul A. Viola This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHVSETTS INSTITVTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1547 February 20, 1993 MIT SchMUSE: Class-Based Remote Delegation in a Capricious Distributed Environment Michael R. Blair, Natalya Cohen, David M. LaMacchia, Brian K. Zuzga This publication can be retrieved by
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1550 August, 1995 Extracting Salient Curves from Images: An Analysis of the Saliency Network T. D. Alter Ronen Basri This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1524 January, 1995 Series Elastic Actuators Matthew M. Williamson This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1545 June, 1995 Thread Scheduling Mechanisms for Multiple-Context Parallel Processors James Alexander Stuart Fiske stuart@ai.mit.edu This publication can be retrieved by anonymous ftp to
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Heterogeneous Multi-Robot Cooperation by Lynne E. Parker email: ParkerL@ai.mit.edu Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY February 1994 c
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1536 September, 1995 C.B.C.L. Paper No. 121 Face Recognition From One Example View David Beymer and Tomaso Poggio email: beymer@ai.mit.edu, tp@ai.mit.edu
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1537 September, 1995 C.B.C.L. Paper No. 122 Vectorizing Face Images by Interleaving Shape and Texture Computations David Beymer email: beymer@ai.mit.edu
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1549 October, 1995 C.B.C.L Paper No. 123 Template Matching: Matched Spatial Filters and beyond Roberto Brunelli and
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1552 September 14, 1995 C.B.C.L. Paper No. 124 Minimizing Statistical Bias with Queries David A. Cohn cohn@psyche.mit.edu
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo 1555 October 1995 The Three-Dimensional Interpretation of a Class of Simple Line-Drawings Thomas Marill
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1510 December, 1994 C.B.C.L. Memo No. 109 Fast Object Recognition in Noisy Images Using Simulated Annealing Margrit Betke
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1554 November, 1995 C.B.C.L. Paper No. 126 The Role of Attention in Binocular Rivalry as Revealed through Optokinetic
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1553 November, 1995 C.B.C.L. Paper No. 125 On the Physiology of Bistable Percepts N. K. Logothetis and D. A. Leopold
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1531 March, 1995 C.B.C.L. Paper No. 119 Linear Object Classes and Image Synthesis from a Single Example Image Thomas
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1526 February, 1995 Direct Object Recognition Using No Higher Than Second or Third Order Statistics of the Image Kenji NAGAO B. K. P. HORN This publication can be retrieved by anonymous ftp to publication.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1515 March, 1995 C.B.C.L. Paper No. 114 A Dynamical Systems Model for Language Change Partha Niyogi & Robert C. Berwick
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1516 July, 1995 C.B.C.L. Paper No. 115 The Logical Problem of Language Change Partha Niyogi and Robert C. Berwick This
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL INFORMATION PROCESSING WHITAKER COLLEGE A.I. Memo No. 1559 December 1995 C.B.I.P. Paper No. 128 Model-Based Matching of Line Drawings by Linear Combinations of Prototypes Michael J. Jones and Tomaso Poggio
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1558 November, 1996 C.B.C.L. Memo No. 129 The Unsupervised Acquisition of a Lexicon from Continuous Speech Carl de
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1556 November, 1995 C.B.C.L. Memo No. 127 Vector-based Integration of Local and Long-range Information in Visual Cortex
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1423 May, 1994 A Simplifled Method for Deriving Equations of Motion For Continuous Systems with Flexible Members Neil C. Singer Warren P. Seering
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1561 January, 1996 C.B.C.L. Paper No. 130 Factorial Hidden Markov Models Zoubin Ghahramani and Michael I. Jordan
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1560 January, 1996 C.B.C.L. Memo No. 129 Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks Tommi S.
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1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1563 January, 1996 Parallel Coupled Micro-Macro Actuators John Bryant Morrell This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. AITR-1566 January, 1995 Segmentation of Brain Tissue from Magnetic Resonance Images Tina Kapur This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1562 March 12, 1996 C.B.C.L. Memo No. 131 Neural Networks Michael I. Jordan and Christopher M. Bishop This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1565 February 2, 1996 C.B.C.L. Memo No. 132 Probabilistic Independence Networks for Hidden Markov Probability Models
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1573 March, 1996 SketchIT: a Sketch Interpretation Tool for Conceptual Mechanical Design Thomas F. Stahovich This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I.T.R. No. 1572 January, 1996 Learning and Example Selection for Object and Pattern Detection Kah-Kay Sung This publication can be
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1564 March, 1996 A Security Kernel Based on the Lambda-Calculus Jonathan A. Rees This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1571 March, 1996 C.B.C.L. Memo No. 136 Computing upper and lower bounds on likelihoods in intractable networks Tommi S.
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Taming Chaotic Circuits by Elizabeth Bradley S.B. Massachusetts Institute of Technology (1983) S.M. Massachusetts Institute of Technology (1986) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy in
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1568 JANUARY 5, 1996 C.B.C.L. Paper No. 134 Reinforcement Learning by Probability Matching Philip N. Sabes and Michael I.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1574 March, 1996 Pose-Invariant Face Recognition Using Real and Virtual Views David Beymer This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL INFORMATION PROCESSING WHITAKER COLLEGE A.I. Memo No. 1287 August 1991 C.B.I.P. Paper No. 66 Models of Noise and Robust Estimates Federico Girosi
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1575 March, 1996 A Computational Model for the Acquisition and Use of Phonological Knowledge Kenneth Yip Gerald Jay Sussman This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING and the ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1517 August 31,1994 CBCL Memo No. 137 Verb Classes and Alternations in Bangla, German, English, and Korean Douglas A. Jones, Robert C. Berwick, Franklin Cho,
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1438 May, 1996 C.B.C.L. Paper No. 116 A Formulation for Active Learning with Applications to Object Detection Kah Kay
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1567 November, 1995 C.B.C.L. Memo No. 133 Learning Fine Motion by Markov Mixtures of Experts Marina Meil>=a Michael I. Jordan This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1569 May, 1994 From Genetic Algorithms To Efficient Optimization Deniz Yuret This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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Heterogeneous Multi-Robot Cooperation by Lynne E. Parker email: ParkerL@ai.mit.edu Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY February 1994 c
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Chapter 3 ALLIANCE: The Cooperative Robot Architecture This chapter describes the novel fault tolerant control architecture, ALLIANCE1, which enables heterogeneous mobile robot cooperation. I begin by discussing the assumptions that were made, and those that were explicitly not made, in developing this
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Chapter 5 Robot Awareness and Action Recognition The ALLIANCE and L-ALLIANCE architectures described in chapters 3 and 4 address the important question of how to allow a distributed team of robots to accomplish its mission while maintaining robustness, reliability, flexibility, and coherence. It is
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Chapter 7 Designing Control Laws As we have seen, the ALLIANCE and L-ALLIANCE architectures allow robot teams to accomplish missions of loosely coupled, largely independent subtasks with a significant degree of coherence. However, the extent of coherence attainable by these teams has been shown to be
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Chapter 4 L-ALLIANCE: Improving Efficiency This chapter describes an extended version of ALLIANCE, called L-ALLIANCE (for Learning ALLIANCE), that preserves the fault tolerant features of ALLIANCE while incorporating on-line, distributed control strategies that greatly improve the efficiency of the
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Internet Fish by Brian A. LaMacchia Artificial Intelligence Laboratory and Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1570 August 1996 Mean Field Theory for Sigmoid Belief Networks Lawrence K. Saul, Tommi Jaakkola, and Michael I. Jordan This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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Virtual Model Control of a Biped Walking Robot by Jerry E. Pratt Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Engineering in Electrical Engineering and Computer Science at the MASSACHUSETTS INSTITUTE OF
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Virtual Model Control of a Hexapod Walking Robot by Ann L. Torres Submitted to the Department of Mechanical Engineering in partial fulfillment of the requirements for the degree of Bachelor of Science in Mechanical Engineering at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY June 1996 c Ann L. Torres,
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1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1577 June, 1996 An Analog VLSI Chip for Estimating the Focus of Expansion Ignacio Sean McQuirk This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1580 September 6, 1996 C.B.C.L Paper No. 138 LEARNING LINEAR, SPARSE, FACTORIAL CODES BRUNO A. OLSHAUSEN This publication
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1587 September, 1996 The Informational Complexity of Learning from Examples Partha Niyogi This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report No. 1586 October, 1996 Reconfigurable Architectures for General-Purpose Computing Andr e DeHon andre@mit.edu
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1589 October 1996 Revised General Purpose Parallel Computation on a DNA Substrate Andrew J. Blumberg
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1 Towards Intelligent Structures: Active Control of Buckling Andrew A. Berlin Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the Massachusetts Institute of Technology May, 1994
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING A.I. Memo No. 1583 November 1996 C.B.C.L. Paper No. 139 Model-Based Matching by Linear Combinations of Prototypes Michael J. Jones and Tomaso Poggio
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY June, 1996 Prototype of a Configurable Web-based Assessment System Miguel Hall This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1588 October 1996 Revised Parallel Function Application on a DNA Substrate Andrew J. Blumberg
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1591 November, 1996 Complex Feature Recognition: A Bayesian Approach for Learning to Recognize Objects Paul A. Viola This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1593 November 1996 Dense Depth Maps from Epipolar Images J.P. Mellor, Seth Teller and Tom as Lozano-P erez This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1584 November, 1996 Edge and Mean Based Image Compression Ujjaval Y. Desai, Marcelo M. Mizuki, Ichiro Masaki, and Berthold K.P. Horn This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1594 November, 1996 Direct methods for estimation of structure and motion from three views Gideon P. Stein and Amnon Shashua gideon@ai.mit.edu shashua@cs.huji.ac.il This publication can be retrieved by anonymous ftp
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1595 November, 1996 Lens Distortion Calibration Using Point Correspondences Gideon P. Stein gideon@ai.mit.edu This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1592 November, 1996 C.B.C.L. Paper No. 140 Image Based Rendering Using Algebraic Techniques Theodoros Evgeniou This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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ARTIFICIAL INTELLIGENCE LABORATORY MASSACHUSETTS INSTITUTE OF TECHNOLOGY BIB-1000-1499 February 1997 PUBLICATIONS BIBLIOGRAPHY 1000-1499 Bibliography Structure as of September 1, 1994: The M.I.T. Artificial Intelligence Laboratory Bibliography is now divided into groups of 500 publications, the numbers
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ARTIFICIAL INTELLIGENCE LABORATORY MASSACHUSETTS INSTITUTE OF TECHNOLOGY BIB-complete February 1997 PUBLICATIONS BIBLIOGRAPHY Bibliography Structure as of September 1, 1994: The M.I.T. Artificial Intelligence Laboratory Bibliography is now divided into groups of 500 publications, the numbers of which
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ARTIFICIAL INTELLIGENCE LABORATORY MASSACHUSETTS INSTITUTE OF TECHNOLOGY BIB-1500-1999 February 1997 PUBLICATIONS BIBLIOGRAPHY 1500-1999 Bibliography Structure as of September 1, 1994: The M.I.T. Artificial Intelligence Laboratory Bibliography is now divided into groups of 500 publications, the numbers
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ARTIFICIAL INTELLIGENCE LABORATORY MASSACHUSETTS INSTITUTE OF TECHNOLOGY BIB-500-999 February 1997 PUBLICATIONS BIBLIOGRAPHY 500-999 Bibliography Structure as of September 1, 1994: The M.I.T. Artificial Intelligence Laboratory Bibliography is now divided into groups of 500 publications, the numbers of
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ARTIFICIAL INTELLIGENCE LABORATORY MASSACHUSETTS INSTITUTE OF TECHNOLOGY BIB-online February 1997 PUBLICATIONS BIBLIOGRAPHY ONLINE Bibliography Structure as of September 1, 1994: The M.I.T. Artificial Intelligence Laboratory Bibliography is now divided into groups of 500 publications, the numbers of
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ARTIFICIAL INTELLIGENCE LABORATORY MASSACHUSETTS INSTITUTE OF TECHNOLOGY BIB-0-499 February 1997 PUBLICATIONS BIBLIOGRAPHY 0-499 Bibliography Structure as of September 1, 1994: The M.I.T. Artificial Intelligence Laboratory Bibliography is now divided into groups of 500 publications, the numbers of which
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The Delta Tree: An Object-Centered Approach to Image-Based Rendering William J. Dally* , Leonard McMillan , Gary Bishop , and Henry Fuchs *Artificial Intelligence Laboratory, Massachusetts Institute of Technology Department of Computer Science, University of North Carolina at Chapel Hill
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1612 August, 1997 C.B.C.L Paper No. 152 Properties of Support Vector Machines Massimiliano Pontil and Alessandro Verri
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1613 August 1997 C.B.C.L. Memo No. 153 Visual segmentation without classification in a model of the primary visual cortex Zhaoping Li This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1598 December 1996 C.B.C.L Paper No. 141 Prior Information and Generalized Questions J org C. Lemm This publication can
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1614 October 6, 1997 Paradigms for Structure in an Amorphous Computer Daniel Coore, Radhika Nagpal, Ron Weiss
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1616 November, 1997 C.B.C.L. Paper No. 155 Belief Propagation and Revision in Networks with Loops Yair Weiss Dept. of
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1605 March, 1997 C.B.C.L. Memo No. 146 Triangulation by Continuous Embedding Marina Meil>=a Michael I. Jordan This publication can be retrieved by anonymous ftp to publications.ai.mit.edu.
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1618 December, 1997 A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling Dan Halperin y Tel Aviv University Christian R. Shelton z Massachusetts Institute of Technology
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1606 May, 1997 C.B.C.L Paper No. 147 An Equivalence Between Sparse Approximation and Support Vector Machines Federico
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1621 December, 1998 Direct Estimation of Motion and Extended Scene Structure from a Moving Stereo Rig Gideon P. Stein Amnon Shashua Artificial Intelligence Laboratory Institute of Computer Science MIT Hebrew
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1619 September, 1997 C.B.C.L. Paper No. 156 Sparse Representation of Multiple Signals Theodoros Evgeniou and Tomaso Poggio This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. The pathname
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1620 December, 1998 C.B.C.L Paper No. 157 On Degeneracy of Linear Reconstruction from Three Views: Linear Line Complex