Foreword -- Preface -- Ch. I -- Kernel methods: a paradigm for pattern analysis -- Section I: Bio-medical engineering -- Ch. II -- Kernel methods in genomics and computational biology -- Ch. III -- Kernel clustering for knowledge discovery in clinical microarray data analysis -- Ch. IV -- Support vector machine for recognition of white blood cells of leukaemia -- Ch. V -- Classification of multiple interleaved human brain tasks in functional magnetic resonance imaging -- Section II: Signal processing -- Ch. VI -- Discrete time signal processing framework with support vector machines -- Ch. VII -- A complex support vector machine approach to OFDM coherent demodulation -- Ch. VIII -- Comparison of kernel methods applied to smart antenna array processing -- Ch. IX -- Applications of kernel theory to speech recognition -- Ch. X -- Building sequence kernels for speaker verification and word recognition -- Ch. XI -- A kernel canonical correlation analysis for learning the semantics of text -- Section III: Image processing -- Ch. XII -- On the pre-image problem in kernel methods -- Ch. XIII -- Perceptual image representations for support vector machine image coding -- Ch. XIV -- Image classification and retrieval with kernel methods -- Ch. XV -- Probabilistic kernel PCA and its application to statistical modeling and inference -- Ch. XVI -- Hyperspectral image classification with kernels -- About the authors -- Index
Summary
"This book presents an extensive introduction to the field of kernel methods and real world applications. The book is organized in four parts: the first is an introductory chapter providing a framework of kernel methods; the others address Bioegineering, Signal Processing and Communications and Image Processing"--Provided by publisher
Bibliography
Includes bibliographical references and index
Notes
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