Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications
Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications
Fundamentals of speech recognition
Fundamentals of speech recognition
Computer Text Recognition and Error Correction
Computer Text Recognition and Error Correction
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Trends in Speech Recognition
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Pattern recognition is concerned with the classification or description by computer of objects, events, or other meaningful regularities in noisy or complex environments. As an area of computer science and engineering, pattern recognition is the study of concepts, algorithms, and implementations that provide artificial systems with a perceptual capability to put abstract objects, or patterns, into categories in a simple and reliable way. As a human experience, pattern recognition refers to a perceptual process in which patterns in any sensory modality (vision, hearing, touch, taste, or smell) or patterns in conceptual or logical thought processes are analyzed and recognized (or classified) as being familiar either in the sense of having been previously experienced or of being similar to or associated with a previous experience.