ANNPR 2006: Ulm, Germany

Unsupervised Learning

• Edmondo Trentin:
  Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions. 1-10
  Electronic Edition (link) BibTeX
• Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre:
  Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition. 11-20
  Electronic Edition (link) BibTeX
• Frank Michler, Thomas Wachtler, Reinhard Eckhorn:
  Adaptive Feedback Inhibition Improves Pattern Discrimination Learning. 21-32
  Electronic Edition (link) BibTeX

Semi-supervised Learning

• Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann:
  Supervised Batch Neural Gas. 33-45
  Electronic Edition (link) BibTeX
• Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer:
  Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. 46-56
  Electronic Edition (link) BibTeX
• Hans A. Kestler, Johann M. Kraus, Günther Palm, Friedhelm Schwenker:
  On the Effects of Constraints in Semi-supervised Hierarchical Clustering. 57-66
  Electronic Edition (link) BibTeX
• Neamat El Gayar, Friedhelm Schwenker, Günther Palm:
  A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. 67-80
  Electronic Edition (link) BibTeX

Supervised Learning

• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  An Experimental Study on Training Radial Basis Functions by Gradient Descent. 81-92
  Electronic Edition (link) BibTeX
• Jianwei Yin, Xiaoming Liu, Zhilin Feng, Jinxiang Dong:
  A Local Tangent Space Alignment Based Transductive Classification Algorithm. 93-106
  Electronic Edition (link) BibTeX
• Xiaoming Liu, Jianwei Yin, Zhilin Feng, Jinxiang Dong:
  Incremental Manifold Learning Via Tangent Space Alignment. 107-121
  Electronic Edition (link) BibTeX
• Johannes Fieres, Karlheinz Meier, Johannes Schemmel:
  A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware. 122-132
  Electronic Edition (link) BibTeX
• Hilario López García, Iván Machón González:
  Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks. 133-143
  Electronic Edition (link) BibTeX

Support Vector Learning

• Yuya Kamada, Shigeo Abe:
  Support Vector Regression Using Mahalanobis Kernels. 144-152
  Electronic Edition (link) BibTeX
• Shinya Katagiri, Shigeo Abe:
  Incremental Training of Support Vector Machines Using Truncated Hypercones. 153-164
  Electronic Edition (link) BibTeX
• Yusuke Torii, Shigeo Abe:
  Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques. 165-176
  Electronic Edition (link) BibTeX

Multiple Classifier Systems

• Barbara Spillmann, Michel Neuhaus, Horst Bunke:
  Multiple Classifier Systems for Embedded String Patterns. 177-187
  Electronic Edition (link) BibTeX
• Lionel Prevost, Rachid Belaroussi, Maurice Milgram:
  Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images. 188-197
  Electronic Edition (link) BibTeX
• Rebecca Fay, Friedhelm Schwenker, Christian Thiel, Günther Palm:
  Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory. 198-209
  Electronic Edition (link) BibTeX
• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization. 210-220
  Electronic Edition (link) BibTeX

Visual Object Recognition

• Alexander Gepperth:
  Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks. 221-232
  Electronic Edition (link) BibTeX
• Martin Antenreiter, Christian Savu-Krohn, Peter Auer:
  Visual Classification of Images by Learning Geometric Appearances Through Boosting. 233-243
  Electronic Edition (link) BibTeX
• Monica Bianchini, Lorenzo Sarti:
  An Eye Detection System Based on Neural Autoassociators. 244-252
  Electronic Edition (link) BibTeX
• Friedhelm Schwenker, Andreas Sachs, Günther Palm, Hans A. Kestler:
  Orientation Histograms for Face Recognition. 253-259
  Electronic Edition (link) BibTeX

Data Mining in Bioinformatics

• Hans A. Kestler, Christoph Müssel:
  An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification. 260-273
  Electronic Edition (link) BibTeX
• Marc Strickert, Nese Sreenivasulu, Silke Peterek, Winfriede Weschke, Hans-Peter Mock, Udo Seiffert:
  Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data. 274-285
  Electronic Edition (link) BibTeX
• Hans A. Kestler, Wolfgang Lindner, André Müller:
  Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles. 286-297
  Electronic Edition (link) BibTeX