Pattern Recognition - Classic Original Book Collection (English Version. 3rd Edition) (Classic Original Book Collection (English Version. 3rd Edition))

Author: Theodoreidis
Publisher:
Publish Date: 2006-09-01
Features: This book comprehensively integrates the classical and current theories and practices of supervised and unsupervised pattern recognition, establishing a complete basic knowledge system for professional technicians and university students. Co-authored by two top experts in the field of pattern recognition, the book elaborates on the applications of pattern recognition from an engineering perspective. It includes topics such as Bayesian classification, Bayesian networks, linear and nonlinear classifiers (including neural networks and support vector machines), dynamic programming, and hidden Markov models for sequential data. The book also covers features (including wavelet, principal component analysis, independent component analysis, and fractal analysis), feature selection techniques, fundamental concepts from learning theory, clustering concepts and algorithms, and more.