Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2020Learning vector quantization and relevances in complex coefficient space
Straat, M.; Kaden, M.; Gay, M.; Villmann, T.; Lampe, A.; Seiffert, U.; Biehl, M.; Melchert, F.
Zeitschriftenaufsatz
2019Application of an interpretable classification model on Early Folding Residues during protein folding
Bittrich, S.; Kaden, M.; Leberecht, C.; Kaiser, F.; Villmann, T.; Labudde, D.
Zeitschriftenaufsatz
2017Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities
Kaden, Marika; Nebel, David; Melchert, Friedrich; Backhaus, Andreas; Seiffert, Udo; Villmann, Thomas
Konferenzbeitrag
2017Prototypes and matrix relevance learning in complex fourier space
Straat, Michiel; Kaden, Marika; Gay, Matthias; Villmann, Thomas; Lampe, Alexander; Seiffert, Udo; Biehl, Michael; Melchert, Friedrich
Konferenzbeitrag
2014Applications of lp-norms and their smooth approximations for gradient based learning vector quantization
Lange, M.; Zühlke, D.; Holz, O.; Villmann, T.
Konferenzbeitrag
2013Processing hyperspectral data in machine learning
Villmann, Thomas; Kästner, Marika; Backhaus, Andreas; Seiffert, Udo
Konferenzbeitrag
2011Relevance learning in unsupervised vector quantization based on divergences
Kästner, M.; Backhaus, A.; Geweniger, T.; Haase, S.; Seiffert, U.; Villmann, T.
Konferenzbeitrag
2010Median fuzzy c-means for clustering dissimilarity data
Geweniger, T.; Zülke, D.; Hammer, B.; Villmann, T.
Zeitschriftenaufsatz
2009Fuzzy variant of affinity propagation in comparison to median fuzzy c-means
Geweniger, T.; Zühlke, D.; Hammer, B.; Villmann, T.
Konferenzbeitrag
2009Unleashing pearson correlation for faithful analysis of biomedical data
Strickert, M.; Schleif, F.M.; Villmann, T.; Seiffert, U.
Aufsatz in Buch