Pattern Recognition (English Edition · 2nd Edition) (English Edition)

Author: Theodoridis
Publisher:
Publication Date: 2003-09-01
Features: The main features of this book include: New feature generation techniques, including wavelet-based, wavelet packet, fractal features, and an explanation of independent component analysis. New chapters on support vector machines and deformation template matching, as well as an appendix on constrained optimization. Feature selection techniques. Design of linear and nonlinear classifiers, including Bayesian classifiers, multilayer perceptrons, decision trees, and RBF networks. Context-independent classification, including dynamic programming and hidden Markov modeling techniques. It not only introduces new developments in clustering algorithms but also covers classic methods such as fuzzy, genetic, and annealing algorithms. Various applications, including image analysis, character recognition, medical diagnosis, speech recognition, and channel equalization. Pattern recognition is crucial in all automation, information processing, and retrieval applications. This book is co-authored by two top experts in the field, comprehensively explaining the applications of pattern recognition from an engineering perspective, covering topics from image analysis to speech recognition and communication. It includes cutting-edge material on neural networks, emphasizing new advancements such as independent component analysis and support vector machines. This book is a renowned classic, having evolved over more than a decade, and has become the most comprehensive reference in the field, adopted by numerous universities worldwide as a textbook. In addition to being suitable for teaching, it is also a valuable reference for engineering professionals.