Learning to recognize objects

Several aspects of systems for learning pattern or object recognition rules are discussed. First, how are recognition rules developed and to what extent is structural pattern information embedded into these recognition rules. Second, how are these rules applied to the recognition of complex patterns such as objects embedded in scenes and how is evidence from different rules combined into a single evidence vector. Third, how can learned rules be improved through performance evaluation and feedback to rule generation stages.