+612 9045 4394
 
CHECKOUT
Artificial Neural Networks in Pattern Recognition : 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010, Proceedings - Friedhelm Schwenker

Artificial Neural Networks in Pattern Recognition

4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010, Proceedings

By: Friedhelm Schwenker (Editor), Neamat El Gayar (Editor)

Paperback

Published: 25th March 2010
Ships: 5 to 9 business days
5 to 9 business days
$135.51
or 4 easy payments of $33.88 with Learn more

Other Available Formats (Hide)

  • Paperback View Product Published: 9th September 2016
    $159.25
  • Paperback View Product Published: 1st October 2006
    Ships: 5 to 9 business days
    5 to 9 business days
    $135.50

The 4th IAPR TC3 Workshop on Arti?cial Neural Networks in Pattern Rec- nition, ANNPR 2010, was held at Nile University (Egypt), April 11-13, 2010. The workshop was organized by the Technical Committee on Neural Networks and Computational Intelligence (TC3) that is one of the 20 technical comm- tees (TC) of the International Association for Pattern Recognition (IAPR). The scope of TC3 includes computational intelligence approaches, such as fuzzy s- tems, evolutionary computing and arti?cial neural networks and their use in various pattern recognition applications. The major topics of ANNPR are supervised and unsupervised learning, f- ture selection, pattern recognition in signal and image processing, and appli- tions in data mining or bioinformatics. High quality across such a diverse ?eld of research is achieved through a rigorous and selective review process. For this workshop, 42 papers were submitted and 23 of them were selected for inc- sion in the proceedings. The workshop was enriched by three invited talks given by Barbara Hammer, University of Bielefeld, Germany, Amir F. Atiya, Cairo University, Egypt, and Mohamed Kamel, University of Waterloo, Canada. We would like to thank all authors for the e?ort they put into their subm- sions, and the Scienti?c Committee for taking the time to provide high-quality reviews and selecting the best contributions for the ?nal workshop program. Special thanks are due to the members of the Nile University Organizing C- mittee, AhmedSalah, AmiraElBaroudy, EsraaAly, HebaEzzat, NesrineSameh, Rana Salah and Mohamed Zahhar for their indispensable contributions to the registration management and local organization.

Supervised Learning
Pattern Classification Using a Penalized Likelihood Methodp. 1
Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysisp. 13
Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiersp. 25
A New Monte Carlo-Based Error Rate Estimatorp. 37
Recognition of Sequences of Graphical Patternsp. 48
Maximum Echo-State-Likelihood Networks for Emotion Recognitionp. 60
Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spacesp. 72
Unsupervised Learning
Global Coordination Based on Matrix Neural Gas for Dynamic Texture Synthesisp. 84
SIC-Means: A Semi-fuzzy Approach for Clustering Data Streams Using C-Meansp. 96
The Mathematics of Divergence Based Online Learning in Vector Quantizationp. 108
Cluster Analysis of Cortical Pyramidal Neurons Using SOMp. 120
Parallelized Kernel Patch Clusteringp. 131
Visual Pattern Recognition
Neural Network Cascade for Facial Feature Localizationp. 141
A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequencesp. 149
Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modelingp. 161
Content-Based Retrieval and Classification of Ultrasound Medical Images of Ovarian Cystsp. 173
Applications
A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networksp. 185
Swarm Based Fuzzy Discriminant Analysis for Multifunction Prosthesis Controlp. 197
Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Imagesp. 207
Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signalsp. 219
Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniquesp. 231
Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservationsp. 241
VLSI Architecture of the Fuzzy Fingerprint Vault Systemp. 252
Invited Talk
Clustering Very Large Dissimilarity Data Setsp. 259
Author Indexp. 275
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9783642121586
ISBN-10: 3642121586
Series: Lecture Notes in Computer Science
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 280
Published: 25th March 2010
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.11 x 15.75  x 1.52
Weight (kg): 0.44