Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2011
Genre:	Naturwissensch., Medizin, Technik
	Applied mathematics / Artificial Intelligence / B / Computational Intelligence;Intelligent Signal Processing / Digital and Analog Signal Processing / engineering / Engineering mathematics / Image processing / Imaging systems & technology / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Signal Processing / Signal, Image and Speech Processing / Speech processing systems mehr...
ISBN:	9783642117381
EAN-Code:	9783642117381
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#372 - Studies in Computational Intelligence
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	672 gr
Seiten:	254
Illustration:	XIV, 254 p. 133 illus., 48 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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 machinelearning 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 algebraoperators, low complexity situational models of image quality mprovement, 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 evolutive multi-modal algorithm.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 machinelearning 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 situationalmodels of image quality mprovement, 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 evolutive multi-modal algorithm.