Add to ORKGVillmann T, Hammer B. Supervised Neural Gas for Learning Vector Quantization. In: Polani D, Kim J, Martinetz T, eds. Proc. of the 5th German Workshop on Artificial Life. Berlin: Akademische Verlagsgesellschaft - infix - IOS Press; 2002: 9-16
Fischer L, Hammer B, Wersing H. Rejection strategies for learning vector quantization. In: Verleysen...
Witoelar AW, Ghosh A, de Vries JJG, Hammer B, Biehl M. Window-Based Example Selection in Learning Ve...
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Witoelar A, Biehl M, Ghosh A, Hammer B. Learning dynamics and robustness of vector quantization and ...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Villmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer. In: Bieh...
A large variety of machine learning models which aim at vector quantization have been proposed. Howe...
International audienceThis paper focuses on the possibility of enabling vector quantization learning...
Kohonen's Learning Vector Quantization (LVQ) is modified by attributing training counters to ea...
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
Biehl M, Ghosh A, Hammer B. Learning vector quantization: The dynamics of winner-takes-all algorithm...
This paper focuses on the possibility of enabling vec-tor quantization learning techniques into dyna...
This paper focuses on recent developments in the use of Artificial Neural Networks (ANNs) for Vector...
Fischer L, Hammer B, Wersing H. Rejection strategies for learning vector quantization. In: Verleysen...
Witoelar AW, Ghosh A, de Vries JJG, Hammer B, Biehl M. Window-Based Example Selection in Learning Ve...
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Witoelar A, Biehl M, Ghosh A, Hammer B. Learning dynamics and robustness of vector quantization and ...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Villmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer. In: Bieh...
A large variety of machine learning models which aim at vector quantization have been proposed. Howe...
International audienceThis paper focuses on the possibility of enabling vector quantization learning...
Kohonen's Learning Vector Quantization (LVQ) is modified by attributing training counters to ea...
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
Biehl M, Ghosh A, Hammer B. Learning vector quantization: The dynamics of winner-takes-all algorithm...
This paper focuses on the possibility of enabling vec-tor quantization learning techniques into dyna...
This paper focuses on recent developments in the use of Artificial Neural Networks (ANNs) for Vector...
Fischer L, Hammer B, Wersing H. Rejection strategies for learning vector quantization. In: Verleysen...
Witoelar AW, Ghosh A, de Vries JJG, Hammer B, Biehl M. Window-Based Example Selection in Learning Ve...
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...