Reed / Carterette / Friedman Psychological Processes in Pattern Recognition

1. Auflage 2013
ISBN: 978-1-4832-6334-2
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 260 Seiten, Web PDF

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.

Autoren/Hrsg.

Reed, Stephen K.

Carterette, E. C.

Friedman, M. P.

Inhaltsverzeichnis

1;Front Cover;1
2;Psychological Processes in Pattern Recognition;4
3;Copyright Page;5
4;Table of Contents;8
5;Dedication;6
6;Preface;12
7;Acknowledgments;14
8;Chapter I. Introduction;18
8.1;Information-Processing Models;18
8.2;Content and Organization;21
9;Part 1: REPRESENTATION;26
9.1;Chapter II. Features, Templates, and Schemata;28
9.1.1;Features;30
9.1.2;Concrete Images;35
9.1.3;Schema Theory;43
9.1.4;Summary;49
9.2;Chapter III. Structural Descriptions;51
9.2.1;Spatial Relations and Development;52
9.2.2;Structural Models in Artificial Intelligence;56
9.2.3;Structural Models in Psychology;61
9.2.4;Summary;69
10;Part 2: TEMPORAL EFFECTS;72
10.1;Chapter IV. Serial or Parallel Matching;74
10.1.1;Multidimensional Matching;75
10.1.2;Sternberg's Theory;82
10.1.3;Neisser's Theory;89
10.1.4;Identification and Classification;97
10.1.5;Summary;102
10.2;Chapter V. Iconic Storage;104
10.2.1;Evidence for Iconic Storage;106
10.2.2;Serial Scan;109
10.2.3;Parallel Scan;112
10.2.4;Visual Masking;120
10.2.5;Summary;123
11;Part 3: MEMORY CODES;126
11.1;Chapter VI. Visual and Verbal Codes;128
11.1.1;Matching Names and Images;131
11.1.2;Visual Representations in Long-Term Memory;139
11.1.3;Verbal Descriptions in Recognition and Recall;142
11.1.4;Accuracy oí Visual Images;149
11.1.5;Summary;153
11.2;Chapter VII. Memory Models: Components and Networks;155
11.2.1;Multicomponent Models;156
11.2.2;Applications of Component Models;159
11.2.3;Network Models;163
11.2.4;Summary;169
12;Part 4: PERCEPTUAL CLASSIFICATION;172
12.1;Chapter VIII. Probability Models;174
12.1.1;Probabilistic or Deterministic Decision Rules;175
12.1.2;Discriminant Analysis;180
12.1.3;Summation of Cue Validities;184
12.1.4;Summary;188
12.2;Chapter IX. Distance Models;190
12.2.1;Classification and Attention;192
12.2.2;Saliency and Validity;194
12.2.3;Categorization Models;197
12.2.4;Additivity;202
12.2.5;Summary;204
13;Part 5: RESPONSE SELECTION;206
13.1;Chapter X. Set and Bias;208
13.1.1;Effects of Set;209
13.1.2;Encoding Strategies;214
13.1.3;Word Recognition and Response Bias;218
13.1.4;Summary;222
13.2;Chapter XI. Recognition Models;224
13.2.1;Choice Models;224
13.2.2;Pattern Similarities;229
13.2.3;Analysis-by-Synthesis;233
13.2.4;Summary;237
13.3;Chapter XII. Overview;240
14;References;244
15;Index;256