| I. STATISTICAL PATTERN RECOGNITION |
| MAXIMUM POSTERIOR PROBABILITY |
| MINIMUM RISK DECISIONS |
| NEAREST NEIGHBOR CLASSIFICATION |
| DECISION BOUNDARIES, NORMAL DISTRIBUTION |
| MINIMUM SQUARED ERROR |
| II. PARALLEL DISTRIBUTED METHODS |
| PERCEPTRON |
| MULTICLASS TRAINING |
| MULTILAYER TRAINING |
| III. STRUCTURAL SYNTACTIC METHODS |
| PRIMITIVES AND GRAMMARS |
| PATTERN DESCRIPTION LANGUAGE |
| BLOCK PRIMITIVES |
| SHAPE ENCODING |
| IV. CLUSTERING AND UNSUPERVISED LEARNING |
| SIMILARITY MEASURES AND DISTANCES |
| CONNECTEDNESS |
| CLIQUES |
| MINIMUM SPANNING TREES |