Add to ORKGVillmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Quantization. In: Yamakawa T, ed. Proceedings of the 4th Workshop on Self Organizing Maps [on CD-ROM]. Hibikino, Kitakyushu, Japan: Kyushu Institute of Technology; 2003: 47-52
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
Villmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer. In: Bieh...
Kohonen's Learning Vector Quantization (LVQ) is modified by attributing training counters to ea...
Villmann T, Hammer B. Supervised Neural Gas for Learning Vector Quantization. In: Polani D, Kim J, M...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Witoelar A, Biehl M, Ghosh A, Hammer B. Learning dynamics and robustness of vector quantization and ...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural ...
Kaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantiza...
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
We propose relevance learning for unsupervised online vector quantization algorithm based on stochas...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W. Learning vector quantization classification ...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
Villmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer. In: Bieh...
Kohonen's Learning Vector Quantization (LVQ) is modified by attributing training counters to ea...
Villmann T, Hammer B. Supervised Neural Gas for Learning Vector Quantization. In: Polani D, Kim J, M...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Witoelar A, Biehl M, Ghosh A, Hammer B. Learning dynamics and robustness of vector quantization and ...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural ...
Kaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantiza...
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
We propose relevance learning for unsupervised online vector quantization algorithm based on stochas...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W. Learning vector quantization classification ...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
Villmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer. In: Bieh...
Kohonen's Learning Vector Quantization (LVQ) is modified by attributing training counters to ea...