Market: Engineers and researchers in neural networks, image processing,
audio/speech, and medical imaging. This book begins by focusing on the
theoretical aspect of pattern recognition and introduces an integrated
pattern recognition paradigm, which combines preprocessing, low
dimensional signal characterization, feature optimization, and mapping
classifier architecture to good features in a seamless fashion. Later,
the authors reinforce the concepts of pattern recognition and prediction
with challenging real- world examples, encompassing financial market
prediction, image coding, active and passive sonar processing, chaos
modeling, and intelligent product design.