-
2
-
-
84861139710
-
A general framework for dimensionaliy reducing data visualization mapping
-
K. Bunte, M. Biehl, and B. Hammer, "A general framework for dimensionaliy reducing data visualization mapping," Neural Computation, 2012.
-
(2012)
Neural Computation
-
-
Bunte, K.1
Biehl, M.2
Hammer, B.3
-
3
-
-
72249111970
-
Adaptive relevance matrices in Learning Vector Quantization
-
P. Schneider, M. Biehl, and B. Hammer, "Adaptive relevance matrices in Learning Vector Quantization," Neural Computation, vol. 21, no. 12, pp. 3532-3561, 2009.
-
(2009)
Neural Computation
, vol.21
, Issue.12
, pp. 3532-3561
-
-
Schneider, P.1
Biehl, M.2
Hammer, B.3
-
4
-
-
79957523837
-
Learning effective color features for content based image retrieval in dermatology
-
K. Bunte, M. Biehl, M. Jonkman, and N. Petkov, "Learning effective color features for content based image retrieval in dermatology," Pattern Recognition, vol. 44, pp. 1892-1902, 2011.
-
(2011)
Pattern Recognition
, vol.44
, pp. 1892-1902
-
-
Bunte, K.1
Biehl, M.2
Jonkman, M.3
Petkov, N.4
-
5
-
-
67650221336
-
-
ser. Lecture Notes in Artificial Intelligence. Springer
-
M. Biehl, B. Hammer, M. Verleysen, and T. Villmann, Eds., Similarity based clustering - recent developments and biomedical applications, ser. Lecture Notes in Artificial Intelligence. Springer, 2009, vol. 5400.
-
(2009)
Similarity Based Clustering - Recent Developments and Biomedical Applications
, vol.5400
-
-
Biehl, M.1
Hammer, B.2
Verleysen, M.3
Villmann, T.4
-
6
-
-
0003410791
-
-
2nd ed. Berlin, Heidelberg: Springer
-
T. Kohonen, Self-Organizing Maps, 2nd ed. Berlin, Heidelberg: Springer, 1997.
-
(1997)
Self-Organizing Maps
-
-
Kohonen, T.1
-
7
-
-
0003505613
-
-
Helsinki Univeristy of Technology, Espoo, Finland, Tech. Rep. TKK-F-A601
-
-, "Learning Vector Quantization for pattern recognition," Helsinki Univeristy of Technology, Espoo, Finland, Tech. Rep. TKK-F-A601, 1986.
-
(1986)
Learning Vector Quantization for Pattern Recognition
-
-
Kohonen, T.1
-
8
-
-
79953842056
-
Margin analysis of the LVQ algorithm
-
MIT Press, Cambridge, MA
-
K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby, "Margin analysis of the LVQ algorithm," in Advances in Neural Information Processing Systems, vol. 15. MIT Press, Cambridge, MA, 2003, pp. 462-469.
-
(2003)
Advances in Neural Information Processing Systems
, vol.15
, pp. 462-469
-
-
Crammer, K.1
Gilad-Bachrach, R.2
Navot, A.3
Tishby, A.4
-
10
-
-
85156210800
-
Generalized learning vector quantization
-
D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, Eds. Cambridge, MA, USA: MIT Press
-
A. Sato and K. Yamada, "Generalized Learning Vector Quantization," in Advances in Neural Information Processing Systems 8. Proceedings of the 1995 Conference, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, Eds. Cambridge, MA, USA: MIT Press, 1996, pp. 423-429.
-
(1996)
Advances in Neural Information Processing Systems 8. Proceedings of the 1995 Conference
, pp. 423-429
-
-
Sato, A.1
Yamada, K.2
-
11
-
-
21244466956
-
An analysis of convergence in generalized LVQ
-
L. Niklasson, M. Bodéén, and T. Ziemke, Eds Springer
-
-, "An analysis of convergence in Generalized LVQ," in Proceedings of the International Conference on Artificial Neural Networks, L. Niklasson, M. Bodéén, and T. Ziemke, Eds. Springer, 1998, pp. 170-176.
-
(1998)
Proceedings of the International Conference on Artificial Neural Networks
, pp. 170-176
-
-
Sato, A.1
Yamada, K.2
-
12
-
-
0038159964
-
Soft learning vector quantization
-
S. Seo and K. Obermayer, "Soft Learning Vector Quantization," Neural Computation, vol. 15, no. 7, pp. 1589-1604, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.7
, pp. 1589-1604
-
-
Seo, S.1
Obermayer, K.2
-
13
-
-
0344520304
-
Soft nearest prototype classification
-
S. Seo, M. Bode, and K. Obermayer, "Soft nearest prototype classification," Transactions on Neural Networks, vol. 14, pp. 390-398, 2003.
-
(2003)
Transactions on Neural Networks
, vol.14
, pp. 390-398
-
-
Seo, S.1
Bode, M.2
Obermayer, K.3
-
15
-
-
0002902870
-
Relevance determination in learning vector quantization
-
M. Verleysen, Ed.
-
T. Bojer, B. Hammer, D. Schunk, and K. T. von Toschanowitz, "Relevance determination in Learning Vector Quantization," in European Symposium on Artificial Neural Networks, M. Verleysen, Ed., 2001, pp. 271-276.
-
(2001)
European Symposium on Artificial Neural Networks
, pp. 271-276
-
-
Bojer, T.1
Hammer, B.2
Schunk, D.3
Von Toschanowitz, K.T.4
-
16
-
-
33749257955
-
Distance metric learning for large margin nearest neighbor classification
-
Y. Weiss, B. Schölkopf, and J. Platt, Eds. Cambridge, MA: MIT Press
-
K. Weinberger, J. Blitzer, and L. Saul, "Distance metric learning for large margin nearest neighbor classification," in Advances in Neural Information Processing Systems 18, Y. Weiss, B. Schölkopf, and J. Platt, Eds. Cambridge, MA: MIT Press, 2006, pp. 1473-1480.
-
(2006)
Advances in Neural Information Processing Systems
, vol.18
, pp. 1473-1480
-
-
Weinberger, K.1
Blitzer, J.2
Saul, L.3
-
17
-
-
84926662675
-
Nearest neighbor pattern classification
-
T. Cover and P. Hart, "Nearest neighbor pattern classification, " Information Theory, IEEE Transactions on, vol. 13, no. 1, pp. 21-27, 1967.
-
(1967)
Information Theory, IEEE Transactions on
, vol.13
, Issue.1
, pp. 21-27
-
-
Cover, T.1
Hart, P.2
-
18
-
-
84855962168
-
Limited rank matrix learning, discriminative dimension reduction and visualization
-
K. Bunte, P. Schneider, B. Hammer, F.-M. Schleif, T. Villmann, and M. Biehl, "Limited rank matrix learning, discriminative dimension reduction and visualization," Neural Networks, vol. 26, pp. 159-173, 2012.
-
Neural Networks
, vol.26
, Issue.2012
, pp. 159-173
-
-
Bunte, K.1
Schneider, P.2
Hammer, B.3
Schleif, F.-M.4
Villmann, T.5
Biehl, M.6
-
19
-
-
0036791938
-
Generalized relevance learning vector quantization
-
B. Hammer and T. Villmann, "Generalized relevance learning vector quantization," Neural Networks, vol. 15, no. 8-9, pp. 1059-1068, 2002.
-
(2002)
Neural Networks
, vol.15
, Issue.8-9
, pp. 1059-1068
-
-
Hammer, B.1
Villmann, T.2
-
21
-
-
84996565038
-
Learning rate schedules for faster stochastic gradient search
-
IEEE Press
-
C. Darken, J. Chang, J. C. Z, and J. Moody, "Learning rate schedules for faster stochastic gradient search," in Neural Networks for Signal Processing 2 - Proceedings of the 1992 IEEE Workshop. IEEE Press, 1992.
-
(1992)
Neural Networks for Signal Processing 2 - Proceedings of the 1992 IEEE Workshop
-
-
Darken, C.1
Chang, J.2
Z, J.C.3
Moody, J.4
-
22
-
-
77951917542
-
Regularization in matrix relevance learning
-
P. Schneider, K. Bunte, H. Stiekema, B. Hammer, T. Villmann, and M. Biehl, "Regularization in matrix relevance learning," IEEE Transactions on Neural Networks, vol. 21, pp. 831-840, 2010.
-
(2010)
IEEE Transactions on Neural Networks
, vol.21
, pp. 831-840
-
-
Schneider, P.1
Bunte, K.2
Stiekema, H.3
Hammer, B.4
Villmann, T.5
Biehl, M.6
-
24
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
R. Fisher, "The use of multiple measurements in taxonomic problems," Annals of Eugenics, vol. 7, pp. 179-188, 1936.
-
(1936)
Annals of Eugenics
, vol.7
, pp. 179-188
-
-
Fisher, R.1
-
27
-
-
33244460529
-
Why direct LDA is not equivalent to LDA
-
H. Gao and J. Davis, "Why direct LDA is not equivalent to LDA," Pattern Recognition, vol. 39, pp. 1002-1006, 2006.
-
(2006)
Pattern Recognition
, vol.39
, pp. 1002-1006
-
-
Gao, H.1
Davis, J.2
-
29
-
-
0002399288
-
Neural networks, principal components, and subspaces
-
E. Oja, "Neural networks, principal components, and subspaces," Journal of Neural Systems, vol. 1, pp. 61-68, 1989.
-
(1989)
Journal of Neural Systems
, vol.1
, pp. 61-68
-
-
Oja, E.1
-
30
-
-
0024883243
-
Optimal unsupervised learning in a single-layer linear feedforward neural network
-
T. Sanger, "Optimal unsupervised learning in a single-layer linear feedforward neural network," Neural Networks, vol. 2, pp. 459-473, 1989.
-
(1989)
Neural Networks
, vol.2
, pp. 459-473
-
-
Sanger, T.1
-
31
-
-
83155177174
-
Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors
-
W. Arlt, M. Biehl, and A. Taylor et al., "Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors," Journal of Clinical Endocrinology & Metabolism, vol. 96, pp. 3775-3784, 2011.
-
(2011)
Journal of Clinical Endocrinology & Metabolism
, vol.96
, pp. 3775-3784
-
-
Arlt, W.1
Biehl, M.2
Taylor, A.3
-
32
-
-
33745834241
-
-
D. J. Newman, S. Hettich, C. L. Blake, and C. J. Merz, "UCI repository of machine learning databases," http://archive.ics.uci.edu/ml/, 1998.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Newman, D.J.1
Hettich, S.2
Blake, C.L.3
Merz, C.J.4
-
33
-
-
77951889684
-
-
University of Leipzig, Machine Learning Reports, Tech. Rep. MLR 01/2009
-
M. Biehl, B. Hammer, F.-M. Schleif, P. Schneider, and T. Villmann, "Stationarity of Relevance Matrix Learning Vector Quantization," University of Leipzig, Machine Learning Reports, Tech. Rep. MLR 01/2009, 2009.
-
(2009)
Stationarity of Relevance Matrix Learning Vector Quantization
-
-
Biehl, M.1
Hammer, B.2
Schleif, F.-M.3
Schneider, P.4
Villmann, T.5
-
35
-
-
0034544567
-
PicSOM - Contentbased image retrieval with self-organizing maps
-
J. Laaksonen, M. Koskela, S. Laakso, and E. Oja, "PicSOM - contentbased image retrieval with self-organizing maps," Pattern Recognition Letters, vol. 21, pp. 1199-1207, 2000.
-
(2000)
Pattern Recognition Letters
, vol.21
, pp. 1199-1207
-
-
Laaksonen, J.1
Koskela, M.2
Laakso, S.3
Oja, E.4
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