The current volume "New Advances in Intelligent Signal
Processing" contains extended works based on a careful selection of
papers presented originally at the jubilee sixth IEEE International
Symposium on Intelligent Signal Processing (WISP'2009), held in
Budapest Hungary, August 26-28, 2009 - celebrating the 10 years
anniversary of the WISP event series.
The present book does not intent to be an overall survey on the
fields of interest of the area, but tries to find topics which
represent new, hot, and challenging problems.
The book begins with papers investigating selected problems of
Modeling, Identification, and Clustering such as fuzzy random
variables, evolutionary multi-objective neural network models, a
structural learning model of neural networks within a Boltzmann
machine, a robust DNA-based clustering techniques, and the advances
of combining multi-criteria analysis of signals and pattern
recognition using machine learning principles.
In the second part of the book Image Processing is treated. The
carefully edited chapters deal with fuzzy relation based image
enhancement, image contrast control technique based on the
application of ukasiewicz algebra operators, low complexity
situational models of image quality improvement, flexible
representation of map images to quantum computers, and object
recognition in images. The last chapter presents an image
processing application for elderly care, performing real-time 3D
tracking based on a new evaluative multi-modal algorithm."
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