Add to ORKGHammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro JR, ed. Proc. International Conf. on Artificial Neural Networks (ICANN). Lecture Notes in Computer Science, 2415. Berlin: Springer Verlag; 2002: 370-376
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W. Learning vector quantization classification ...
Witoelar AW, Ghosh A, de Vries JJG, Hammer B, Biehl M. Window-Based Example Selection in Learning Ve...
Biehl M, Gosh A, Hammer B. The dynamics of Learning Vector Quantization. In: Verleysen M, ed. ESANN'...
Villmann T, Hammer B. Supervised Neural Gas for Learning Vector Quantization. In: Polani D, Kim J, M...
Biehl M, Ghosh A, Hammer B. Learning vector quantization: The dynamics of winner-takes-all algorithm...
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Fischer L, Hammer B, Wersing H. Rejection strategies for learning vector quantization. In: Verleysen...
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural ...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
Fischer L, Hammer B, Wersing H. Local Rejection Strategies for Learning Vector Quantization. In: Wer...
This paper focuses on recent developments in the use of Artificial Neural Networks (ANNs) for Vector...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W. Learning vector quantization classification ...
Witoelar AW, Ghosh A, de Vries JJG, Hammer B, Biehl M. Window-Based Example Selection in Learning Ve...
Biehl M, Gosh A, Hammer B. The dynamics of Learning Vector Quantization. In: Verleysen M, ed. ESANN'...
Villmann T, Hammer B. Supervised Neural Gas for Learning Vector Quantization. In: Polani D, Kim J, M...
Biehl M, Ghosh A, Hammer B. Learning vector quantization: The dynamics of winner-takes-all algorithm...
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Fischer L, Hammer B, Wersing H. Rejection strategies for learning vector quantization. In: Verleysen...
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural ...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
Fischer L, Hammer B, Wersing H. Local Rejection Strategies for Learning Vector Quantization. In: Wer...
This paper focuses on recent developments in the use of Artificial Neural Networks (ANNs) for Vector...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W. Learning vector quantization classification ...
Witoelar AW, Ghosh A, de Vries JJG, Hammer B, Biehl M. Window-Based Example Selection in Learning Ve...