Michael Biehl

	2012
57		Kerstin Bunte, Michael Biehl, Barbara Hammer: A General Framework for Dimensionality-Reducing Data Visualization Mapping. Neural Computation 24(3): 771-804 (2012)
56		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)
	2011
55		Kerstin Bunte, Ioannis Giotis, Nicolai Petkov, Michael Biehl: Adaptive Matrices for Color Texture Classification. CAIP (2) 2011: 489-497
54		Kerstin Bunte, Michael Biehl, Barbara Hammer: Dimensionality reduction mappings. CIDM 2011: 349-356
53		Ernest Mwebaze, John A. Quinn, Michael Biehl: Causal relevance learning for robust classification under interventions. ESANN 2011
52		Marika Kästner, Barbara Hammer, Michael Biehl, Thomas Villmann: Generalized functional relevance learning vector quantization. ESANN 2011
51		John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl: Learning of causal relations. ESANN 2011
50		Petra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann: Multivariate class labeling in Robust Soft LVQ. ESANN 2011
49		Kerstin Bunte, Michael Biehl, Barbara Hammer: Supervised dimension reduction mappings. ESANN 2011
48		Barbara Hammer, Michael Biehl, Kerstin Bunte, Bassam Mokbel: A General Framework for Dimensionality Reduction for Large Data Sets. WSOM 2011: 277-287
47		Wouter Lueks, Bassam Mokbel, Michael Biehl, Barbara Hammer: How to Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix CoRR abs/1110.3917: (2011)
46		Michael Biehl, Barbara Hammer, Erzsébet Merényi, Alessandro Sperduti, Thomas Villmann: Learning in the context of very high dimensional data (Dagstuhl Seminar 11341). Dagstuhl Reports 1(8): 67-95 (2011)
45		Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller: Neighbor embedding XOM for dimension reduction and visualization. Neurocomputing 74(9): 1340-1350 (2011)
44		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)
43		Kerstin Bunte, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov: Learning effective color features for content based image retrieval in dermatology. Pattern Recognition 44(9): 1892-1902 (2011)
	2010
42		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
41		Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl: Divergence based Learning Vector Quantization. ESANN 2010
40		Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller: Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. ESANN 2010
39		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl: Generalized Derivative Based Kernelized Learning Vector Quantization. IDEAL 2010: 21-28
38		Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl: Regularization in matrix relevance learning. IEEE Transactions on Neural Networks 21(5): 831-840 (2010)
37		Aree Witoelar, Anarta Ghosh, J. J. G. de Vries, Barbara Hammer, Michael Biehl: Window-Based Example Selection in Learning Vector Quantization. Neural Computation 22(11): 2924-2961 (2010)
36		Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl: Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing 73(7-9): 1074-1092 (2010)
35		Petra Schneider, Michael Biehl, Barbara Hammer: Hyperparameter learning in probabilistic prototype-based models. Neurocomputing 73(7-9): 1117-1124 (2010)
	2009
34		Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: Similarity-Based Clustering, Recent Developments and Biomedical Applications [outcome of a Dagstuhl Seminar] Springer 2009
33		Kerstin Bunte, Barbara Hammer, Michael Biehl: Nonlinear Dimension Reduction and Visualization of Labeled Data. CAIP 2009: 1162-1170
32		Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman: Adaptive Metrics for Content Based Image Retrieval in Dermatology. ESANN 2009
31		Aree Witoelar, Michael Biehl, Barbara Hammer: Equilibrium properties of off-line LVQ. ESANN 2009
30		Petra Schneider, Michael Biehl, Barbara Hammer: Hyperparameter Learning in Robust Soft LVQ. ESANN 2009
29		Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl: Nonlinear Discriminative Data Visualization. ESANN 2009
28		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
27		Michael Biehl, Nestor Caticha, Peter Riegler: Statistical Mechanics of On-line Learning. Similarity-Based Clustering 2009: 1-22
26		Thomas Villmann, Barbara Hammer, Michael Biehl: Some Theoretical Aspects of the Neural Gas Vector Quantizer. Similarity-Based Clustering 2009: 23-34
25		Michael Biehl, Barbara Hammer, Petra Schneider, Thomas Villmann: Metric Learning for Prototype-Based Classification. Innovations in Neural Information Paradigms and Applications 2009: 183-199
24		Petra Schneider, Michael Biehl, Barbara Hammer: Distance Learning in Discriminative Vector Quantization. Neural Computation 21(10): 2942-2969 (2009)
23		Petra Schneider, Michael Biehl, Barbara Hammer: Adaptive Relevance Matrices in Learning Vector Quantization. Neural Computation 21(12): 3532-3561 (2009)
22		Frank-Michael Schleif, Michael Biehl, Alfredo Vellido: Advances in machine learning and computational intelligence. Neurocomputing 72(7-9): 1377-1378 (2009)
21		Aree Witoelar, Michael Biehl: Phase transitions in vector quantization and neural gas. Neurocomputing 72(7-9): 1390-1397 (2009)
	2008
20		Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer: Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. ANNPR 2008: 78-89
19		Aree Witoelar, Anarta Ghosh, Michael Biehl: Phase transitions in Vector Quantization. ESANN 2008: 221-226
18		Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Generalized matrix learning vector quantizer for the analysis of spectral data. ESANN 2008: 451-456
17		Enrique Alegre, Michael Biehl, Nicolai Petkov, Lidia Sánchez: Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ. Comp. in Bio. and Med. 38(4): 461-468 (2008)
16		Fabrice Rossi, Michael Biehl, Cecilio Angulo Bahón: Progress in modeling, theory, and application of computational intelligence. Neurocomputing 71(7-9): 1117-1119 (2008)
15		Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbara Hammer: Learning dynamics and robustness of vector quantization and neural gas. Neurocomputing 71(7-9): 1210-1219 (2008)
	2007
14		Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007
13		Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbara Hammer: On the dynamics of Vector Quantization and Neural Gas. ESANN 2007: 127-132
12		Petra Schneider, Michael Biehl, Barbara Hammer: Relevance matrices in LVQ. ESANN 2007: 37-42
11		Michael Biehl, Rainer Breitling, Yang Li: Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning. IDEAL 2007: 880-889
10		Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: 07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology 2007
9		Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: 07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology 2007
8		Aree Witoelar, Michael Biehl, Barbara Hammer: Learning Vector Quantization: generalization ability and dynamics of competing prototypes. Similarity-based Clustering and its Application to Medicine and Biology 2007
7		Michael Biehl, Anarta Ghosh, Barbara Hammer: Dynamics and Generalization Ability of LVQ Algorithms. Journal of Machine Learning Research 8: 323-360 (2007)
6		Michael Biehl, Erzsébet Merényi, Fabrice Rossi: Advances in computational intelligence and learning. Neurocomputing 70(7-9): 1117-1119 (2007)
	2006
5		Michael Biehl, Piter Pasma, Marten Pijl, Lidia Sánchez, Nicolai Petkov: Classification of Boar Sperm Head Images using Learning Vector Quantization. ESANN 2006: 545-550
4		Anarta Ghosh, Michael Biehl, Barbara Hammer: Performance analysis of LVQ algorithms: A statistical physics approach. Neural Networks 19(6-7): 817-829 (2006)
3		Michael Biehl, Anarta Ghosh, Barbara Hammer: Learning vector quantization: The dynamics of winner-takes-all algorithms. Neurocomputing 69(7-9): 660-670 (2006)
	2005
2		Michael Biehl, Anarta Ghosh, Barbara Hammer: The dynamics of Learning Vector Quantization. ESANN 2005: 13-18
	2002
1		Christoph Bunzmann, Michael Biehl, Robert Urbanczik: Supervised learning in committee machines by PCA. ESANN 2002: 125-130

Coauthor Index

1	Jennifer R. Aduwo	[44]
2	Enrique Alegre	[17]
3	Cecilio Angulo (Cecilio Angulo Bahón)	[16]
4	Rainer Breitling	[11]
5	Kerstin Bunte	[29] [32] [33] [36] [38] [40] [43] [45] [48] [49] [54] [55] [56] [57]
6	Christoph Bunzmann	[1]
7	Nestor Caticha	[27]
8	Tina Geweniger	[50]
9	Anarta Ghosh	[2] [3] [4] [7] [13] [15] [19] [37]
10	Ioannis Giotis	[55]
11	Sven Haase	[41] [42] [44]
12	Barbara Hammer	[2] [3] [4] [7] [8] [9] [10] [12] [13] [14] [15] [20] [23] [24] [25] [26] [29] [30] [31] [33] [34] [35] [36] [37] [38] [39] [40] [42] [45] [46] [47] [48] [49] [52] [54] [56] [57]
13	Tom Heskes	[51]
14	Marcel F. Jonkman	[32] [43]
15	Marika Kästner	[52]
16	Jens Keilwagen	[20] [28]
17	Yang Li	[11]
18	Wouter Lueks	[47]
19	Erzsébet Merényi	[6] [46]
20	Bassam Mokbel	[47] [48]
21	Joris M. Mooij	[51]
22	Ernest Mwebaze	[41] [44] [53]
23	Piter Pasma	[5]
24	Nicolai Petkov (Nikolai Petkov)	[5] [17] [32] [43] [55]
25	Marten Pijl	[5]
26	John A. Quinn (John Alexander Quinn)	[44] [51] [53]
27	Peter Riegler	[27]
28	Fabrice Rossi	[6] [16]
29	Lidia Sánchez	[5] [17]
30	Frank-Michael Schleif	[18] [22] [28] [39] [41] [42] [44] [50] [56]
31	Petra Schneider	[12] [18] [20] [23] [24] [25] [29] [30] [35] [38] [39] [41] [44] [50] [56]
32	Alessandro Sperduti	[46]
33	Han Stiekema	[38]
34	Marc Strickert	[20] [28]
35	Robert Urbanczik	[1]
36	Alfredo Vellido	[22]
37	Michel Verleysen	[9] [10] [14] [34]
38	Thomas Villmann	[9] [10] [14] [18] [20] [25] [26] [28] [34] [38] [39] [40] [41] [42] [44] [45] [46] [50] [52] [56]
39	Gert-Jan de Vries (J. J. G. de Vries, Jan Johannes Gerardus de Vries)	[37]
40	Axel Wismüller	[36] [40] [45]
41	Aree Witoelar	[8] [13] [15] [19] [21] [31] [37]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page