José Antonio Barberá Fernández; Cedma; Joaquín Ruano Jiménez Diputación Provincial de Málaga. Centro de Ediciones de la Diputación de Málaga (2001) Saatavuus: Hankintapalvelu Pehmeäkantinen kirja
Juan Julián Merelo; Agostinho Rosa; José M. Cadenas; António Dourado Correia; Kurosh Madani; António Ruano; Joaqui Filipe Springer International Publishing AG (2016) Saatavuus: Tilaustuote Kovakantinen kirja
Juan Julian Merelo; Fernando Melício; José M. Cadenas; António Dourado; Kurosh Madani; António Ruano; Joaquim Filipe Springer International Publishing AG (2018) Saatavuus: Tilaustuote Kovakantinen kirja
María Eugenia Cornejo (ed.); László T. Kóczy (ed.); Jesús Medina (ed.); Antonio Eduardo De Barros Ruano (ed.) Springer (2018) Saatavuus: Tilaustuote Kovakantinen kirja
Juan Julian Merelo; Fernando Melício; José M. Cadenas; António Dourado; Kurosh Madani; António Ruano; Joaquim Filipe Springer Nature Switzerland AG (2018) Saatavuus: Tilaustuote Pehmeäkantinen kirja
María Eugenia Cornejo (ed.); László T. Kóczy (ed.); Jesús Medina (ed.); Antonio Eduardo De Barros Ruano (ed.) Springer (2019) Saatavuus: Tilaustuote Pehmeäkantinen kirja
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 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.
