Abstract is missing.
- Simple and Effective Connectionist Nonparametric Estimation of Probability Density FunctionsEdmondo Trentin. 1-10 [doi]
- Comparison Between Two Spatio-Temporal Organization Maps for Speech RecognitionZouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre. 11-20 [doi]
- Adaptive Feedback Inhibition Improves Pattern Discrimination LearningFrank Michler, Thomas Wachtler, Reinhard Eckhorn. 21-32 [doi]
- Supervised Batch Neural GasBarbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann. 33-45 [doi]
- Fuzzy Labeled Self-Organizing Map with Label-Adjusted PrototypesThomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer. 46-56 [doi]
- On the Effects of Constraints in Semi-supervised Hierarchical ClusteringHans A. Kestler, Johann M. Kraus, Günther Palm, Friedhelm Schwenker. 57-66 [doi]
- A Study of the Robustness of KNN Classifiers Trained Using Soft LabelsNeamat El Gayar, Friedhelm Schwenker, Günther Palm. 67-80 [doi]
- An Experimental Study on Training Radial Basis Functions by Gradient DescentJoaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo. 81-92 [doi]
- A Local Tangent Space Alignment Based Transductive Classification AlgorithmJianwei Yin, Xiaoming Liu, Zhilin Feng, Jinxiang Dong. 93-106 [doi]
- Incremental Manifold Learning Via Tangent Space AlignmentXiaoming Liu, Jianwei Yin, Zhilin Feng, Jinxiang Dong. 107-121 [doi]
- A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog HardwareJohannes Fieres, Karlheinz Meier, Johannes Schemmel. 122-132 [doi]
- Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural NetworksHilario López García, Iván Machón González. 133-143 [doi]
- Support Vector Regression Using Mahalanobis KernelsYuya Kamada, Shigeo Abe. 144-152 [doi]
- Incremental Training of Support Vector Machines Using Truncated HyperconesShinya Katagiri, Shigeo Abe. 153-164 [doi]
- Fast Training of Linear Programming Support Vector Machines Using Decomposition TechniquesYusuke Torii, Shigeo Abe. 165-176 [doi]
- Multiple Classifier Systems for Embedded String PatternsBarbara Spillmann, Michel Neuhaus, Horst Bunke. 177-187 [doi]
- Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face ImagesLionel Prevost, Rachid Belaroussi, Maurice Milgram. 188-197 [doi]
- Hierarchical Neural Networks Utilising Dempster-Shafer Evidence TheoryRebecca Fay, Friedhelm Schwenker, Christian Thiel, Günther Palm. 198-209 [doi]
- Combining MF Networks: A Comparison Among Statistical Methods and Stacked GeneralizationJoaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo. 210-220 [doi]
- Object Detection and Feature Base Learning with Sparse Convolutional Neural NetworksAlexander Gepperth. 221-232 [doi]
- Visual Classification of Images by Learning Geometric Appearances Through BoostingMartin Antenreiter, Christian Savu-Krohn, Peter Auer. 233-243 [doi]
- An Eye Detection System Based on Neural AutoassociatorsMonica Bianchini, Lorenzo Sarti. 244-252 [doi]
- Orientation Histograms for Face RecognitionFriedhelm Schwenker, Andreas Sachs, Günther Palm, Hans A. Kestler. 253-259 [doi]
- An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data ClassificationHans A. Kestler, Christoph Müssel. 260-273 [doi]
- Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression DataMarc Strickert, Nese Sreenivasulu, Silke Peterek, Winfriede Weschke, Hans-Peter Mock, Udo Seiffert. 274-285 [doi]
- Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression ProfilesHans A. Kestler, Wolfgang Lindner, André Müller. 286-297 [doi]