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Conferences in DBLP

2006 (conf/annpr/2006)

  1. Edmondo Trentin
    Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:1-10 [Conf]
  2. Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre
    Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:11-20 [Conf]
  3. Frank Michler, Thomas Wachtler, Reinhard Eckhorn
    Adaptive Feedback Inhibition Improves Pattern Discrimination Learning. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:21-32 [Conf]
  4. Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann
    Supervised Batch Neural Gas. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:33-45 [Conf]
  5. Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer
    Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:46-56 [Conf]
  6. Hans A. Kestler, Johann M. Kraus, Günther Palm, Friedhelm Schwenker
    On the Effects of Constraints in Semi-supervised Hierarchical Clustering. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:57-66 [Conf]
  7. Neamat El Gayar, Friedhelm Schwenker, Günther Palm
    A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:67-80 [Conf]
  8. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    An Experimental Study on Training Radial Basis Functions by Gradient Descent. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:81-92 [Conf]
  9. Jianwei Yin, Xiaoming Liu, Zhilin Feng, Jinxiang Dong
    A Local Tangent Space Alignment Based Transductive Classification Algorithm. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:93-106 [Conf]
  10. Xiaoming Liu, Jianwei Yin, Zhilin Feng, Jinxiang Dong
    Incremental Manifold Learning Via Tangent Space Alignment. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:107-121 [Conf]
  11. Johannes Fieres, Karlheinz Meier, Johannes Schemmel
    A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:122-132 [Conf]
  12. Hilario López García, Iván Machón González
    Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:133-143 [Conf]
  13. Yuya Kamada, Shigeo Abe
    Support Vector Regression Using Mahalanobis Kernels. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:144-152 [Conf]
  14. Shinya Katagiri, Shigeo Abe
    Incremental Training of Support Vector Machines Using Truncated Hypercones. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:153-164 [Conf]
  15. Yusuke Torii, Shigeo Abe
    Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:165-176 [Conf]
  16. Barbara Spillmann, Michel Neuhaus, Horst Bunke
    Multiple Classifier Systems for Embedded String Patterns. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:177-187 [Conf]
  17. Lionel Prevost, Rachid Belaroussi, Maurice Milgram
    Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:188-197 [Conf]
  18. Rebecca Fay, Friedhelm Schwenker, Christian Thiel, Günther Palm
    Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:198-209 [Conf]
  19. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:210-220 [Conf]
  20. Alexander Gepperth
    Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:221-232 [Conf]
  21. Martin Antenreiter, Christian Savu-Krohn, Peter Auer
    Visual Classification of Images by Learning Geometric Appearances Through Boosting. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:233-243 [Conf]
  22. Monica Bianchini, Lorenzo Sarti
    An Eye Detection System Based on Neural Autoassociators. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:244-252 [Conf]
  23. Friedhelm Schwenker, Andreas Sachs, Günther Palm, Hans A. Kestler
    Orientation Histograms for Face Recognition. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:253-259 [Conf]
  24. Hans A. Kestler, Christoph Müssel
    An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:260-273 [Conf]
  25. 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. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:274-285 [Conf]
  26. Hans A. Kestler, Wolfgang Lindner, André Müller
    Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:286-297 [Conf]
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