Artificial Neural Networks in Pattern Recognition

This book constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008. The 18 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 57 submissions. The papers combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. The papers are organized in topical sections on unsupervised learning, supervised learning, multiple classifiers, applications, and feature selection.

ISBN	3540699384	Volumes	2 Paperbacks
ISBN13	9783540699385 (What's this?)	Weight (grammes)	499
Publisher	Springer-Verlag Berlin and Heidelberg GmbH & Co. KG	Published in	Berlin
Imprint	Springer-Verlag Berlin and Heidelberg GmbH & Co. K	Series ISSN	5064
Format	Paperback	Series title	Lecture Notes in Computer Science
Publication date	25 Jun 2008	Height (mm)	235
Library of Congress	TK7882	Width (mm)	155
DEWEY	006.3	Spine width (mm)	20
DEWEY edition	DC22	Academic level	Professional / Scholarly
Pages	327

		Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets by Alexander Hasenfuss and Barbara Hammer and Fabrice Rossi		1
		The Block Generative Topographic Mapping by Rodolphe Priam and Mohamed Nadif and Gerard Govaert		13
		Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs by Kaspar Riesen and Horst Bunke		24
		Probabilistic Models Based on the IT-Sigmoid Distribution by Anastasios Alivanoglou and Aristidis Likas		36
		How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise by C. C. Lu and C. C. Li and H. Chen		44
		Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis by Shigeo Abe		54
		Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network by Jean-Francois Connolly and Eric Granger and Robert Sabourin		66
		Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics by M. Strickert and P. Schneider and J. Keilwagen and T. Villmann and M. Biehl and B. Hammer		78
		Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four by Stefan Fausser and Friedhelm Schwenker		90
		Cyclostationary Neural Networks for Air Pollutant Concentration Prediction by Monica Bianchini and Ernesto Di Iorio and Marco Maggini and Augusto Pucci		101
		Fuzzy Evolutionary Probabilistic Neural Networks by V. L. Georgiou and Ph. D. Alevizos and M. N. Vrahatis		113
		Experiments with Supervised Fuzzy LVQ by Christian Thiel and Britta Sonntag and Friedheim Schwenker		125
		A Neural Network Approach to Similarity Learning by Stefano Melacci and Lorenzo Sarti and Marco Maggini and Monica Bianchini		133
		Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes by Cheng-Lin Liu		137
		Boosting Threshold Classifiers for High-Dimensional Data in Functional Gcnornics by Ludwig Lausser and Malte Buchholz and Hans A. Kestler		147
		Decision Fusion on Boosting Ensembles by Joaquin Torres-Sospedra and Carlos Hernandez-Espinosa and Mercedes Fernandez-Redondo		157
		More...
		Author Index		317

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