Description
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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- Catégories
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Technologie et architecture
Ordinateurs et Informatique
Technologies informatiques
Technologie de communication
Intelligence artificielle
Traitement du signal
Mathématiques pour ingénieurs
Électrotechnique
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