Artificial Neural Networks – ICANN 2009: 19th International by Alberto Guillén, Antti Sorjamaa, Gines Rubio, Amaury

By Alberto Guillén, Antti Sorjamaa, Gines Rubio, Amaury Lendasse, Ignacio Rojas (auth.), Cesare Alippi, Marios Polycarpou, Christos Panayiotou, Georgios Ellinas (eds.)

This quantity set LNCS 5768 and LNCS 5769 constitutes the refereed complaints of the nineteenth foreign convention on synthetic Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009.

The 2 hundred revised complete papers provided have been conscientiously reviewed and chosen from greater than three hundred submissions. the 1st quantity is split in topical sections on studying algorithms; computational neuroscience; implementations and embedded structures; self association; clever keep an eye on and adaptive platforms; neural and hybrid architectures; aid vector desktop; and recurrent neural network.

Show description

Read or Download Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I PDF

Similar networks books

Programming ArcGIS 10.1 with Python Cookbook: Over 75 recipes to help you automate geoprocessing tasks, create solutions, and solve problems for ArcGIS with Python

ArcGIS is an general geographic info approach from ESRI.

This ebook will help you use the Python programming language to create geoprocessing scripts, instruments, and shortcuts for the ArcGIS laptop environment.

This e-book will make you a better and effective GIS expert by means of exhibiting you the way to take advantage of the Python programming language with ArcGIS machine to automate geoprocessing projects, deal with map records and layers, locate and connect damaged info hyperlinks, edit information in characteristic periods and tables, and masses extra.

Stability and Synchronization Control of Stochastic Neural Networks

This book reports at the most up-to-date findings within the learn of Stochastic Neural Networks (SNN). The publication collects the unconventional version of the disturbance pushed by means of Levy strategy, the study approach to M-matrix, and the adaptive regulate approach to the SNN within the context of balance and synchronization keep an eye on. The e-book can be of curiosity to school researchers, graduate scholars up to the mark technology and engineering and neural networks who desire to examine the center ideas, tools, algorithms and functions of SNN.

Crime, Networks and Power: Transformation of Sicilian Cosa Nostra

This publication develops the concept that the Cosa Nostra Sicilian mafia likes and, more than the other legal association, follows the styles of capitalist transformation. the writer provides research of the mafia under post-fordism capitalism, exhibiting how they depend on more and more more flexible networks for purposes of either expense and dodging police control, in addition to altering their middle companies when it comes to the danger that some actions, similar to drug trafficking, tend to incur.

Extra resources for Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I

Sample text

Martin Haker, Thomas Martinetz, and Erhardt Barth 895 905 913 923 Critical Infrastructure Systems Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields . . . . . . . . . . . . . . . . . . . Loris Foresti, Devis Tuia, Alexei Pozdnoukhov, and Mikhail Kanevski Contributor Diagnostics for Anomaly Detection . . . . . . . . . . . Alexander Borisov, George Runger, and Eugene Tuv Indoor Localization Using Neural Networks with Location Fingerprints .

Thodoris Kottas, Yiannis Boutalis, and Manolis Christodoulou 875 Intelligent Tools and Methods for Multimedia Annotation AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery . . . . . . . . . . . . . . . . . . . . . . . . . Christos P. Loizou, Victor Murray, Marios S. Pattichis, Christodoulos S. Christodoulou, Marios Pantziaris, Andrew Nicolaides, and Constantinos S. Pattichis 885 Table of Contents – Part II XXXIII Unsupervised Clustering of Clickthrough Data for Automatic Annotation of Multimedia Content .

For all datasets, we used the top 1000 words by mutual information with class labels. For comparison, the counterpart unsupervised multiple kernel learning algorithm based on NMF [8] (denoted as NMF-mkl) was conducted. We also compared with the self-tuning spectral clustering [4] (denoted as SelfTunSpec), which tries to build a single best kernel for clustering. The algorithm in [7] is not compared because the optimization software in [7] cannot deal with the datasets that have too many samples and will cause memory overflow on the datasets used in this paper.

Download PDF sample

Rated 4.75 of 5 – based on 50 votes