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Updated: May 29, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
Published on: November 2, 2012
Problem-solving models and search strategies for pattern recognition
1FELLOW, IEEE, Department of Computer Science, Laboratory for Pattern Analysis, University of Maryland, College Park, MD 20742.
Abstract:
Noting the major limitations of multivariate statistical classification and syntactic pattern recognition models, this paper presents an overview of some recent work using alternate representations for multistage and nearest neighbor multiclass classification, and for structural analysis and feature extraction. These alternate representations are based on generalizations of state-space and AND/OR graph models and search strategies developed in artificial intelligence (AI). The paper also briefly touches on other current interactions and differences between artificial intelligence and pattern recognition.
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