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. This work presents chapters dedicated to adaptation and use of kernel methods.