Artificial Intelligence and Computer Vision

Author: Feldman   Y. A.;Bruckstein   A.  

Publisher: Elsevier Science‎

Publication year: 1991

E-ISBN: 9780444599285

P-ISBN(Paperback): 9780444891266

P-ISBN(Hardback):  9780444891266

Subject: N Pandect of Natural Science

Language: ENG

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Description

Current research in artificial intelligence and computer vision presented at the Israeli Symposium are combined in this volume to present an invaluable resource for students, industry and research organizations. Papers have been contributed from researchers worldwide, showing the growing interest of the international community in the work done in Israel. The papers selected are varied, reflecting the most contemporary research trends.

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 8

Foreword

pp.:  6 – 7

Program Committee

pp.:  7 – 12

Table of Contents

pp.:  8 – 6

Chapter 2. Monitoring the Execution of Contextualised Explanations

pp.:  26 – 42

Chapter 3. Exact Point Matching

pp.:  42 – 56

Chapter 4. Similarity-Invariant Recognition of Partially Occluded Planar Curves and Shapes

pp.:  56 – 72

Chapter 5. Robust Estimators in Computer Vision: An Introduction to Least Median of Squares Regression

pp.:  72 – 82

Chapter 6. On Optimal Stopping of Sparse Search

pp.:  82 – 92

Chapter 7. A Strategic Negotiations Model with Applications to an International Crises: Preliminary report

pp.:  92 – 108

Chapter 8. Progressive Horizon Planning

pp.:  108 – 122

Chapter 9. Logical Modelling of Constraints on Acceptable Syntactic Tree Forms for Natural Language Analysis

pp.:  122 – 136

Chapter 10. A Statistical Filter for Resolving Pronoun References

pp.:  136 – 148

Chapter 11. "Form and Function": A Theory of Purposive, Qualitive 3-D Object Recognition

pp.:  148 – 158

Chapter 12. Dynamic Multiple-Motion Computation

pp.:  158 – 168

Chapter 13. Translating Default Theories to Logic Programs (Extended Abstract)

pp.:  168 – 180

Chapter 14. An Efficient Algorithm for Point Selection for Image Surface Recovery Computation

pp.:  180 – 186

Chapter 15. The Generalized-Concepts Object-Centered World, and Possible Representations

pp.:  186 – 202

Chapter 16. Constructive Induction by Incremental Concept Formation

pp.:  202 – 216

Chapter 17. Learning with Representative Presentations: The Inverse of Shapiro's MIS

pp.:  216 – 226

Chapter 18. A Case Study of the Costs and Benefits of Generalization in Explanation-Based Learning

pp.:  226 – 234

Chapter 19. B-Snakes: Implementation and Application to Stereo

pp.:  234 – 248

Chapter 20. Using a Finite Element Method for Active Contour Models and 3-D Reconstruction from Cross Sections

pp.:  248 – 260

Chapter 21. 3-D Line-Scan Intensity Ratio Sensing

pp.:  260 – 270

Chapter 22. A. Progress Report on Automating the Analysis of Ordinary Differential Equations

pp.:  270 – 284

Chapter 23. GSERT: An Expert System Shell for Process Control

pp.:  284 – 296

Chapter 24. Evaluating Production Systems in a Multiprocessor Environment

pp.:  296 – 312

Chapter 25. Merging Polygonal Obstacles

pp.:  312 – 322

Chapter 26. Linking Low Level Perceptive Vision Processing to High Level Cognitive Processes using the Dynamic Generalized Hough Transform

pp.:  322 – 332

Chapter 27. An Improved Parallel Algorithm for Finding Congruent Regions

pp.:  332 – 336

Chapter 28. Texture Classification in Aerial Photographs and Satellite Data

pp.:  336 – 346

Chapter 29. Realization of the Intuitive Notion of Symmetry for Feature Detection

pp.:  346 – 356

Chapter 30. Analogical Reasoning: A Combined Approach

pp.:  356 – 372

Chapter 31. Cooperation in Uncertain Territory using a Multi-Entity Model (Preliminary Report)

pp.:  372 – 382

Chapter 32. Making the Network Consistency Problem Distributed

pp.:  382 – 396

Chapter 33. Topographical Distance Function in Numerical Mathematical Morphology. Application to Medical Imaging

pp.:  396 – 406

Chapter 34. Computing 2-Dimensional Min, Median and Max Filters

pp.:  406 – 416

Chapter 35. Counter Propagation Neural Network used in Hand-Written Characters Recognition

pp.:  416 – 428

Chapter 36. An Efficient Algorithm for Automatic Recognition and Classification of Chromosomes by Cluster Seeking

pp.:  428 – 442

Chapter 37. The Effect of Clutter on the Human Target Acquisition Process

pp.:  442 – 452

Chapter 38. Real Time Associative Vision Machine

pp.:  452 – 466

Chapter 39. Purposive and Qualitive Active Vision1

pp.:  466 – 476

Chapter 40. On "Intelligent" Sparse Data

pp.:  476 – 486

Chapter 41. Generalization of Object Recognition in Human Vision across Stimulus Transformations and Deformations

pp.:  486 – 496

Chapter 42. An Application of Fractal and Integral Geometry to Texture Segmentaton

pp.:  496 – 506

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