Artificial Intelligence and Computer Vision
eBook - PDF

Artificial Intelligence and Computer Vision

  1. 504 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Artificial Intelligence and Computer Vision

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Artificial Intelligence and Computer Vision by Y.A. Feldman,A. Bruckstein in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Artificial Intelligence and Computer Vision
  3. Copyright Page
  4. Table of Contents
  5. Foreword
  6. Program Committee
  7. Chapter 1. Structuring Events for their Pronominal Reference
  8. Chapter 2. Monitoring the Execution of Contextualised Explanations
  9. Chapter 3. Exact Point Matching
  10. Chapter 4. Similarity-Invariant Recognition of Partially Occluded Planar Curves and Shapes
  11. Chapter 5. Robust Estimators in Computer Vision: An Introduction to Least Median of Squares Regression
  12. Chapter 6. On Optimal Stopping of Sparse Search
  13. Chapter 7. A Strategic Negotiations Model with Applications to an International Crises: Preliminary report
  14. Chapter 8. Progressive Horizon Planning
  15. Chapter 9. Logical Modelling of Constraints on Acceptable Syntactic Tree Forms for Natural Language Analysis
  16. Chapter 10. A Statistical Filter for Resolving Pronoun References
  17. Chapter 11. "Form and Function": A Theory of Purposive, Qualitive 3-D Object Recognition
  18. Chapter 12. Dynamic Multiple-Motion Computation
  19. Chapter 13. Translating Default Theories to Logic Programs (Extended Abstract)
  20. Chapter 14. An Efficient Algorithm for Point Selection for Image Surface Recovery Computation
  21. Chapter 15. The Generalized-Concepts Object-Centered World, and Possible Representations
  22. Chapter 16. Constructive Induction by Incremental Concept Formation
  23. Chapter 17. Learning with Representative Presentations: The Inverse of Shapiro's MIS
  24. Chapter 18. A Case Study of the Costs and Benefits of Generalization in Explanation-Based Learning
  25. Chapter 19. B-Snakes: Implementation and Application to Stereo
  26. Chapter 20. Using a Finite Element Method for Active Contour Models and 3-D Reconstruction from Cross Sections
  27. Chapter 21. 3-D Line-Scan Intensity Ratio Sensing
  28. Chapter 22. A. Progress Report on Automating the Analysis of Ordinary Differential Equations
  29. Chapter 23. GSERT: An Expert System Shell for Process Control
  30. Chapter 24. Evaluating Production Systems in a Multiprocessor Environment
  31. Chapter 25. Merging Polygonal Obstacles
  32. Chapter 26. Linking Low Level Perceptive Vision Processing to High Level Cognitive Processes using the Dynamic Generalized Hough Transform
  33. Chapter 27. An Improved Parallel Algorithm for Finding Congruent Regions
  34. Chapter 28. Texture Classification in Aerial Photographs and Satellite Data
  35. Chapter 29. Realization of the Intuitive Notion of Symmetry for Feature Detection
  36. Chapter 30. Analogical Reasoning: A Combined Approach
  37. Chapter 31. Cooperation in Uncertain Territory using a Multi-Entity Model (Preliminary Report)
  38. Chapter 32. Making the Network Consistency Problem Distributed
  39. Chapter 33. Topographical Distance Function in Numerical Mathematical Morphology. Application to Medical Imaging
  40. Chapter 34. Computing 2-Dimensional Min, Median and Max Filters
  41. Chapter 35. Counter Propagation Neural Network used in Hand-Written Characters Recognition
  42. Chapter 36. An Efficient Algorithm for Automatic Recognition and Classification of Chromosomes by Cluster Seeking
  43. Chapter 37. The Effect of Clutter on the Human Target Acquisition Process
  44. Chapter 38. Real Time Associative Vision Machine
  45. Chapter 39. Purposive and Qualitive Active Vision1
  46. Chapter 40. On "Intelligent" Sparse Data
  47. Chapter 41. Generalization of Object Recognition in Human Vision across Stimulus Transformations and Deformations
  48. Chapter 42. An Application of Fractal and Integral Geometry to Texture Segmentaton