New Advances in Intelligent Signal Processing

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The carefully edited chapters deal with fuzzy relation based image enhancement, image contrast control technique based on the application of Łukasiewicz algebra operators, low complexity situational models of image quality improvement, flexible representation of map images to quantum computers, and object recognition in images. 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…

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The carefully edited chapters deal with fuzzy relation based image enhancement, image contrast control technique based on the application of Łukasiewicz algebra operators, low complexity situational models of image quality improvement, flexible representation of map images to quantum computers, and object recognition in images.

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 Łukasiewicz 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 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 Łukasiewicz 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.

Langue
en
Version
Broché
Date de sortie initiale
16 juillet 2014
Nombre de pages
272
Illustrations
Non

Personnes impliquées

Auteur principal

Antonio Ruano

Deuxième auteur

Annamária R. Várkonyi-Kóczy

Rédacteur en chef

Antonio Ruano

Deuxième rédacteur

Annamaria R. Varkonyi-Koczy

Editeur principal

Springer-Verlag Berlin and Heidelberg GmbH & Co. K

Informations sur le fabricant

Nom du fabricant
Springer Nature Customer Service Center GmbH
Adresse du fabricant
Europaplatz 3 | 69115| Heidelberg| DE
Adresse électronique du fabricant
ProductSafety@springernature.com
Informations sur le fabricant
Les informations du fabricant ne sont actuellement pas disponibles

Autres spécifications

Hauteur de l’emballage
235 mm
Largeur d’emballage
155 mm
Largeur du produit
155 mm
Livre d‘étude
Oui
Longueur d’emballage
235 mm
Longueur du produit
235 mm
Poids de l’emballage
559 g
Police de caractères extra large
Non
Édition
2011 ed.

EAN

EAN
9783642269370

Sécurité des produits

Opérateur économique responsable dans l’UE

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Technologie et architecture

Ordinateurs et Informatique

Technologies informatiques

Technologie de communication

Intelligence artificielle

Traitement du signal

Mathématiques pour ingénieurs

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Anglais

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Paperback

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