Kernel Methods in Bioengineering, Signal and Image Processing (Hardcover)

In the last decade, a number of powerful kernel-based learning methods have been proposed in the machine learning community: support vector machines (SVMs), kernel fisher discriminant (KFD) analysis, kernel PCA/ICA, kernel mutual information, kernel k-means, and kernel ARMA. Successful applications of these algorithms have been reported in many fields, such as medicine, bioengineering, communications, audio and image processing, and computational biology and bioinformatics. ""Kernel Methods in Bioengineering, Signal and Image Processing"" covers real-world applications, such as computational biology, text categorization, time series prediction, interpolation, system identification, speech recognition, image de-noising, image coding, classification, and segmentation. ""Kernel Methods in Bioengineering, Signal and Image Processing"" encompasses the vast field of kernel methods from a multidisciplinary approach by presenting chapters dedicated to adaptation and use of kernel methods in the selected areas of bioengineering, signal processing and communications, and image processing.

General

Imprint:	Igi Publishing
Country of origin:	United States
Release date:	November 2006
First published:	November 2006
Dimensions:	254 x 178 x 23mm (L x W x T)
Format:	Hardcover
Pages:	432
ISBN-13:	978-1-59904-042-4
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Professional & Technical > Biochemical engineering > Biotechnology > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-59904-042-5
Barcode:	9781599040424

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