
Psychological Processes in Pattern Recognition
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Psychological Processes in Pattern Recognition describes information-processing models of pattern recognition. This book is organized into five parts encompassing 11 chapters that particularly focus on visual pattern recognition and the many issues relevant to a more general theory of pattern recognition. The first three parts cover the representation, temporal effects, and memory codes of pattern recognition. These parts include the features, templates, schemata, and structural descriptions of information processing models. The principles of parallel matching, iconic storage, and the components and networks of memory codes are also considered. The remaining two parts look into the perceptual classification and response selection of pattern recognition. These parts specifically tackle the development of probability, distance, and recognition models. This book is intended primarily for psychologists, graduate students, and researchers who are interested in the problems of pattern recognition and human information processing.
Table of Contents
Preface
Acknowledgments
I. Introduction
Information-Processing Models
Content and Organization
Part 1. Representation
II. Features, Templates, and Schemata
Features
Concrete Images
Schema Theory
Summary
III. Structural Descriptions
Spatial Relations and Development
Structural Models in Artificial Intelligence
Structural Models in Psychology
Summary
Part 2. Temporal Effects
IV. Serial or Parallel Matching
Multidimensional Matching
Sternberg's Theory
Neisser's Theory
Identification and Classification
Summary
V. Iconic Storage
Evidence for Iconic Storage
Serial Scan
Parallel Scan
Visual Masking
Summary
Part 3. Memory Codes
VI. Visual and Verbal Codes
Matching Names and Images
Visual Representations in Long-Term Memory
Verbal Descriptions in Recognition and Recall
Accuracy of Visual Images
Summary
VII. Memory Models: Components and Networks
Multicomponent Models
Applications of Component Models
Network Models
Summary
Part 4. Perceptual Classification
VIII. Probability Models
Probabilistic or Deterministic Decision Rules
Discriminant Analysis
Summation of Cue Validities
Summary
IX. Distance Models
Classification and Attention
Saliency and Validity
Categorization Models
Additivity
Summary
Part 5. Response Selection
X. Set and Bias
Effects of Set
Encoding Strategies
Word Recognition and Response Bias
Summary
XI. Recognition Models
Choice Models
Pattern Similarities
Analysis-by-Synthesis
Summary
XII. Overview
References
Index
Product details
- No. of pages: 260
- Language: English
- Copyright: © Academic Press 1973
- Published: October 28, 1973
- Imprint: Academic Press
- eBook ISBN: 9781483263342
About the Author
Stephen K. Reed
About the Editors
E. C. Carterette
M. P. Friedman
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