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Accepted papers

WSOM 2014, 10th WORKSHOP ON SELF-ORGANIZING MAPS, 02-04 July 2014, Mittweida, Germany
Probabilistic prototype classification using t-norms                                 T. Geweniger, F.-M. Schleif and T. Villmann A Concurrent SOM-based Chan-Vese Model for Image Segmentation                                                                                            M. Abdelsamea, G. Gnecco and M. Gaber A Survey of SOM-based Active Contour Models for Image Segmentation                                                                                                    M. Abdelsamea, G. Gnecco and M. Gaber MS-SOM: Magnitude Sensitive Self-Organizing Maps                            E. Pelayo and D. Buldain A Biologically Plausible SOM Representation of the Orthographic Form of 50,000 French Words                                                                C.Touzet, C. Kermorvant and H. Glotin Dynamic formation of self-organizing maps                                             J. Fix Comparison of spectrum cluster analysis with PCA and spherical SOM and related issues not amenable to PCA                                                M. Ohkita, H. Tokutaka and K. Yoshihara Composition of Learning Patterns using Spherical Self- Organizing Maps in Image Analysis with Subspace Classifier                                             N. Matsuda, F. Tajima and H. Sato Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem                                                                                                    J. Faigl and G. Hollinger SOMbrero: an R Package for Numeric and Non-numeric Self- Organizing Maps                                                                                                         J. Boelaert, L. Bendhaiba, M. Olteanu and N. Villa-Vialaneix Anomaly detection based on confidence intervals using SOM with an application to Health Monitoring                                                                     A. Bellas, C. Bouveyron, M. Cottrell and J. Lacaille Visualization and Classification of DNA sequences using Pareto learning Self Organizing Maps based on Frequency and Correlation Coefficient                                                                       H. Dozono Rejection Strategies for Learning Vector Quantization – a Comparison of Probabilistic and Deterministic Approaches                                             L. Fischer, D. Nebel, T. Villmann, B. Hammer and H. Wersing Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved Classification of Hyperspectral Data                                                                                                         U. Knauer, A. Backhaus and U. Seiffert Some room for GLVQ: Semantic Labeling of occupancy grid maps Sven Hellbach, Marian Himstedt, Frank Bahrmann, Martin Riedel, Thomas Villmann and Hans-Joachim Boehme Text mining of life-philosophical insights                                                   T. Honkela, J. Korhonen, K. Lagus and E. Saarinen RFSOM - Extending Self-Organizing feature Maps with adaptive metrics to combine spatial and textural features for body pose estimation                                                                                              M. Klingner, S. Hellbach, M. Riedel, M. Kaden, T. Villmann and H.-J. Böhme Generative versus discriminative prototype based classification                M. Riedel, D. Nebel, T. Villmann and B. Hammer Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study                                        J. Yoo, J. Choi and Y. Choe Short review of dimensionality reduction methods based on stochastic neighbour embedding                                                                              D. H. Peluffo-Ordóñez, J. A. Lee and M. Verleysen Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method                                                                                                   A. Tosi, I. Olier and A. Vellido Attention based Classification Learning in GLVQ and Asymmetric Classification Error Assessment                                                                      M. Kaden, W. Hermann and T. Villmann Partial Mutual Information for Vector Quantization                                 M. Lange, D. Nebel and T. Villmann K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models                                                                       D. Nova, P. Estevez and P. Huijse Bagged Kernel SOM                                                                                J. Mariette, J. Boelaert, M. Olteanu and N. Villa-Vialaneix
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