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Kernel Methods in Bioengineering, Signal and Image Processing (Hardcover)
Loot Price: R2,823
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Kernel Methods in Bioengineering, Signal and Image Processing (Hardcover)
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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.
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