This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006.
The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics.
Author(s): Edmondo Trentin (auth.), Friedhelm Schwenker, Simone Marinai (eds.)
Series: Lecture Notes in Computer Science 4087 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 302
Tags: Artificial Intelligence (incl. Robotics); Pattern Recognition; Information Systems Applications (incl.Internet); Computation by Abstract Devices; Management of Computing and Information Systems; Bioinformatics
Front Matter....Pages -
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions....Pages 1-10
Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition....Pages 11-20
Adaptive Feedback Inhibition Improves Pattern Discrimination Learning....Pages 21-32
Supervised Batch Neural Gas....Pages 33-45
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes....Pages 46-56
On the Effects of Constraints in Semi-supervised Hierarchical Clustering....Pages 57-66
A Study of the Robustness of KNN Classifiers Trained Using Soft Labels....Pages 67-80
An Experimental Study on Training Radial Basis Functions by Gradient Descent....Pages 81-92
A Local Tangent Space Alignment Based Transductive Classification Algorithm....Pages 93-106
Incremental Manifold Learning Via Tangent Space Alignment....Pages 107-121
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware....Pages 122-132
Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks....Pages 133-143
Support Vector Regression Using Mahalanobis Kernels....Pages 144-152
Incremental Training of Support Vector Machines Using Truncated Hypercones....Pages 153-164
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques....Pages 165-176
Multiple Classifier Systems for Embedded String Patterns....Pages 177-187
Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images....Pages 188-197
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory....Pages 198-209
Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization....Pages 210-220
Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks....Pages 221-232
Visual Classification of Images by Learning Geometric Appearances Through Boosting....Pages 233-243
An Eye Detection System Based on Neural Autoassociators....Pages 244-252
Orientation Histograms for Face Recognition....Pages 253-259
An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification....Pages 260-273
Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data....Pages 274-285
Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles....Pages 286-297
Back Matter....Pages -
