Pub Date :2006-9-1 Publisher: China Machine Press book comprehensively considered supervised and unsupervised pattern recognition classic and current theory and practice . for professional and technical personnel and college students the basic knowledge to establish a complete system . This book by the field of pattern recognition coauthored two item-level experts from the engineering point of view a comprehensive exposition of pattern recognition applications . including Bayesian classification. Bayesian networks. linear and non-linear classifiers ( including neural networks and support vector machines ) . dynamic programming. and for sequential data. hidden Markov models . features ( including wavelets. principal component analysis . independent component analysis and fractal analysis ) . feature selection techniques . from the basic concepts of learning theory . clusterin...
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