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ORCIDFrank-Michael Schleif
- > Home > Persons > Frank-Michael Schleif
Publications
- 2020
[j42]Maximilian Münch, Christoph Raab, Michael Biehl
, Frank-Michael Schleif:
Data-Driven Supervised Learning for Life Science Data. Frontiers Appl. Math. Stat. 6: 553000 (2020)- [c85]Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif:
Structure Preserving Encoding of Non-euclidean Similarity Data. ICPRAM 2020: 43-51 - [c81]Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif:
Complex-Valued Embeddings of Generic Proximity Data. S+SSPR 2020: 14-23 - [i6]Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif:
Complex-valued embeddings of generic proximity data. CoRR abs/2008.13454 (2020) - 2016
- [j34]Frank-Michael Schleif, Barbara Hammer, Javier Gonzalez Monroy, Javier González Jiménez, José-Luis Blanco-Claraco, Michael Biehl, Nicolai Petkov:
Odor recognition in robotics applications by discriminative time-series modeling. Pattern Anal. Appl. 19(1): 207-220 (2016) - 2015
- [j30]Michael Biehl, Alessandro Ghio, Frank-Michael Schleif:
Developments in computational intelligence and machine learning. Neurocomputing 169: 185-186 (2015) - [c65]Michael Biehl, Barbara Hammer, Frank-Michael Schleif, Petra Schneider, Thomas Villmann:
Stationarity of Matrix Relevance LVQ. IJCNN 2015: 1-8 - 2012
- [j19]Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl:
Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26: 159-173 (2012) - [c52]Kerstin Bunte, Frank-Michael Schleif, Michael Biehl:
Adaptive learning for complex-valued data. ESANN 2012 - [c47]Michael Biehl, Kerstin Bunte, Frank-Michael Schleif, Petra Schneider, Thomas Villmann:
Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN 2012: 1-8 - 2011
- [j15]Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl:
Divergence-based classification in learning vector quantization. Neurocomputing 74(9): 1429-1435 (2011) - [c42]Petra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann:
Multivariate class labeling in Robust Soft LVQ. ESANN 2011 - 2010
- [c34]Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer, Michael Biehl:
The Mathematics of Divergence Based Online Learning in Vector Quantization. ANNPR 2010: 108-119 - [c33]Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl:
Divergence based Learning Vector Quantization. ESANN 2010 - [c29]Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl:
Generalized Derivative Based Kernelized Learning Vector Quantization. IDEAL 2010: 21-28 - 2009
- [j11]Frank-Michael Schleif, Michael Biehl, Alfredo Vellido:
Advances in machine learning and computational intelligence. Neurocomputing 72(7-9): 1377-1378 (2009) - [c25]Marc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl:
Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data. IWANN (1) 2009: 933-940 - 2008
- [c20]Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl:
Generalized matrix learning vector quantizer for the analysis of spectral data. ESANN 2008: 451-456
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