2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM)

Empirical evaluation of gradient methods for matrix learning vector quantization

Pub Date : 2017-08-31 DOI: 10.1109/WSOM.2017.8020027 Michael LeKander, Michael Biehl, Harm de Vries

Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning

Pub Date : 2017-08-31 DOI: 10.1109/WSOM.2017.8020009 T. Villmann, Michael Biehl, A. Villmann, S. Saralajew

Prototypes and matrix relevance learning in complex fourier space

Pub Date : 2017-08-31 DOI: 10.1109/WSOM.2017.8020019 M. Straat, M. Kaden, M. Gay, T. Villmann, A. Lampe, U. Seiffert, Michael Biehl, F. Melchert