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ORCID10. WSOM 2014: Mittweida, Germany
- Thomas Villmann, Frank-Michael Schleif
, Marika Kaden, Mandy Lange:
Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014. Advances in Intelligent Systems and Computing 295, Springer 2014, ISBN 978-3-319-07694-2
SOM-Theory and Visualization Techniques
- Fabrice Rossi:
How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need? 3-23 - Jérémy Fix:
Dynamic Formation of Self-Organizing Maps. 25-34 - Enrique Pelayo, J. David Buldain Pérez:
MS-SOM: Magnitude Sensitive Self-Organizing Maps. 35-44 - Jérôme Mariette, Madalina Olteanu, Julien Boelaert, Nathalie Villa-Vialaneix:
Bagged Kernel SOM. 45-54 - Alessandra Tosi, Iván Olier, Alfredo Vellido:
Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method. 55-64 - Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen:
Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. 65-74
Prototype Based Classification
- Marika Kaden, Wieland Hermann, Thomas Villmann:
Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment. 77-87 - Hiroshi Dozono:
Visualization and Classification of DNA Sequences Using Pareto Learning Self Organizing Maps Based on Frequency and Correlation Coefficient. 89-98 - Tina Geweniger, Frank-Michael Schleif, Thomas Villmann:
Probabilistic Prototype Classification Using t-norms. 99-108 - Lydia Fischer, David Nebel, Thomas Villmann, Barbara Hammer, Heiko Wersing:
Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches. 109-118
Classification and Non-Standard Metrics
- Michael Biehl:
Prototype-Based Classifiers and Their Application in the Life Sciences. 121 - Barbara Hammer, David Nebel, Martin Riedel, Thomas Villmann:
Generative versus Discriminative Prototype Based Classification. 123-132 - Sven Hellbach, Marian Himstedt, Frank Bahrmann, Martin Riedel, Thomas Villmann, Hans-Joachim Böhme:
Some Room for GLVQ: Semantic Labeling of Occupancy Grid Maps. 133-143 - Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille:
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. 145-155 - Mathias Klingner, Sven Hellbach, Martin Riedel, Marika Kaden, Thomas Villmann, Hans-Joachim Böhme:
RFSOM - Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation. 157-166 - Uwe Knauer, Andreas Backhaus, Udo Seiffert:
Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved Classification of Hyperspectral Data. 167-177
Advanced Applications of SOM and LVQ
- Erzsébet Merényi:
The Sky Is Not the Limit. 181-186 - Jaewook Yoo, Jinho Choi, Yoonsuck Choe:
Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study. 187-197 - Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. 199-208 - Timo Honkela, Jaakko Korhonen, Krista Lagus, Esa Saarinen:
Five-Dimensional Sentiment Analysis of Corpora, Documents and Words. 209-218 - Julien Boelaert, Laura Bendhaiba, Madalina Olteanu, Nathalie Villa-Vialaneix:
SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps. 219-228 - David Nova, Pablo A. Estévez, Pablo Huijse:
K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models. 229-238 - Masaaki Ohkita, Heizo Tokutaka, Kazuhiro Yoshihara, Matashige Oyabu:
Comparison of Spectrum Cluster Analysis with PCA and Spherical SOM and Related Issues Not Amenable to PCA. 239-248 - Jörn Lötsch, Alfred Ultsch:
Exploiting the Structures of the U-Matrix. 249-257 - Mandy Lange, David Nebel, Thomas Villmann:
Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization. 259-269 - Nobuo Matsuda, Fumiaki Tajima, Hideaki Sato:
Composition of Learning Patterns Using Spherical Self-Organizing Maps in Image Analysis with Subspace Classifier. 271-280 - Jan Faigl, Geoffrey A. Hollinger:
Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem. 281-291 - Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
A Survey of SOM-Based Active Contour Models for Image Segmentation. 293-302 - Claude F. Touzet, Christopher Kermorvant, Hervé Glotin:
A Biologically Plausible SOM Representation of the Orthographic Form of 50, 000 French Words. 303-312
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