-
1
-
-
10944226453
-
An information energy LVQ approach for feature ranking
-
M. Verleysen, editor, d-side publications
-
R. Andonie and A. Cataron. An information energy LVQ approach for feature ranking. In M. Verleysen, editor, European Symposium on Artificial Neural Networks 2004, pages 471-476. d-side publications, 2004.
-
(2004)
European Symposium On Artificial Neural Networks 2004
, pp. 471-476
-
-
Andonie, R.1
Cataron, A.2
-
3
-
-
33947233031
-
Out-ofsample extensions for lle, isomap, mds, eigenmaps, and spectr al clustering
-
In S. Thrun, L. Saul, and B. Schölkopf, editors, MIT Press, Cambridge, MA
-
Y. Bengio, J. Paiement, P. Vincent, O. Delalleau, N. L. Roux, and M. Ouimet. Out-ofsample extensions for lle, isomap, mds, eigenmaps, and spectr al clustering. In S. Thrun, L. Saul, and B. Schölkopf, editors, Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.
-
(2004)
Advances In Neural Information Processing Systems
, pp. 16
-
-
Bengio, Y.1
Paiement, J.2
Vincent, P.3
Delalleau, O.4
Roux, N.L.5
Ouimet, M.6
-
5
-
-
0011715568
-
-
Technical Report NCRG/96/015, Neural Computing Research Group, Aston University
-
C. M. Bishop, M. Svensén, and C. K. I. Williams. GTM: A principled alternative to the self-organizing map. Technical Report NCRG/96/015, Neural Computing Research Group, Aston University, 1996.
-
(1996)
GTM: A Principled Alternative to The Self-organizing Map
-
-
Bishop, C.M.1
Svensén, M.2
Williams, C.K.I.3
-
6
-
-
0036605279
-
Graph multidimensional scaling with self-organizing maps
-
June
-
E. Bonabeau. Graph multidimensional scaling with self-organizing maps. Information Sciences, 143(1-4):159-180, June 2002.
-
(2002)
Information Sciences
, vol.143
, Issue.1-4
, pp. 159-180
-
-
Bonabeau, E.1
-
9
-
-
2442536791
-
Dissimilarity learning for nominal data
-
V. Cheng, C.-H. Li, J. Kwok, and C.-K. Li. Dissimilarity learning for nominal data. Pattern Recognition, 37(7):1471-1477, 2004.
-
(2004)
Pattern Recognition
, vol.37
, Issue.7
, pp. 1471-1477
-
-
Cheng, V.1
Li, C.-H.2
Kwok, J.3
Li, C.-K.4
-
10
-
-
0042168470
-
Two or three things that we know about the Kohonen algorithm
-
In M. Verleysen, editor, Brussels, Belgium, D facto conference services
-
M. Cottrell, J. C. Fort, and G. Pagès. Two or three things that we know about the Kohonen algorithm. In M. Verleysen, editor, Proc. ESANN'94, European Symp. on Artificial Neural Networks, pages 235-244, Brussels, Belgium, 1994. D facto conference services.
-
(1994)
Proc. ESANN'94, European Symp. On Artificial Neural Networks
, pp. 235-244
-
-
Cottrell, M.1
Fort, J.C.2
Pagès, G.3
-
11
-
-
9144249823
-
SOM-based algorithms for qualitative variables
-
M. Cottrell, S. Ibbou, and P. Letrémy. SOM-based algorithms for qualitative variables. Neural Networks, 17:1149-1168, 2004.
-
(2004)
Neural Networks
, vol.17
, pp. 1149-1168
-
-
Cottrell, M.1
Ibbou, S.2
Letrémy, P.3
-
12
-
-
0031042985
-
Phylogenetic reconstruction using an unsupervised growing neural network that adopts the topology of a phylogenetic tree
-
J. Dopazo and J. Carazo. Phylogenetic reconstruction using an unsupervised growing neural network that adopts the topology of a phylogenetic tree. Journal of Molecular Evolution, 44(2):226-233, 1997.
-
(1997)
Journal of Molecular Evolution
, vol.44
, Issue.2
, pp. 226-233
-
-
Dopazo, J.1
Carazo, J.2
-
15
-
-
84898963788
-
Object classification from a single example utilizing class relevance pseudometrics
-
In L. K. Saul, Y. Weiss, and L. Bottou, editors, MIT Press, Cambridge, MA
-
M. Fink. Object classification from a single example utilizing class relevance pseudometrics. In L. K. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17. MIT Press, Cambridge, MA, 2005.
-
(2005)
Advances In Neural Information Processing Systems
, pp. 17
-
-
Fink, M.1
-
17
-
-
84887013918
-
Adaptive topological tree structure (ATTS) for document organisation and visualisation
-
in press
-
R. Freeman and H. Yin. Adaptive topological tree structure (ATTS) for document organisation and visualisation. Neural Networks, in press.
-
Neural Networks
-
-
Freeman, R.1
Yin, H.2
-
18
-
-
4444231365
-
A survey of kernels for structured data
-
T. Gärtner. A survey of kernels for structured data. SIGKDD explorations, 2003.
-
(2003)
SIGKDD Explorations
-
-
Gärtner, T.1
-
20
-
-
84898983549
-
Hierarchical clustering of a mixture model
-
In L. K. Saul, Y. Weiss, and L. Bottou, editors, MIT Press, Cambridge, MA
-
J. Goldberger and S. Roweis. Hierarchical clustering of a mixture model. In L. K. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17. MIT Press, Cambridge, MA, 2005.
-
(2005)
Advances In Neural Information Processing Systems
, pp. 17
-
-
Goldberger, J.1
Roweis, S.2
-
21
-
-
0344972928
-
Self-organizing maps: Generalizations and new optimization techniques
-
T. Graepel, M. Burger, and K. Obermayer. Self-organizing maps: generalizations and new optimization techniques. Neurocomputing, 21(1-3):173-90, 1998.
-
(1998)
Neurocomputing
, vol.21
, Issue.1-3
, pp. 173-190
-
-
Graepel, T.1
Burger, M.2
Obermayer, K.3
-
22
-
-
0032602777
-
A stochastic self organizing map for proximity data
-
T. Graepel and K. Obermayer. A stochastic self organizing map for proximity data. NeuralComputation, 11:139-155, 1999.
-
(1999)
NeuralComputation
, vol.11
, pp. 139-155
-
-
Graepel, T.1
Obermayer, K.2
-
23
-
-
0036191654
-
Self-organizing map for clustering in the graph domain
-
S. Günter and H. Bunke. Self-organizing map for clustering in the graph domain. Pattern Recognition Letters, 23:401-417, 2002.
-
(2002)
Pattern Recognition Letters
, vol.23
, pp. 401-417
-
-
Günter, S.1
Bunke, H.2
-
24
-
-
84898964855
-
Result analysis of the nips 2003 feature selection challenge
-
In L. K. Saul, Y. Weiss, and L. Bottou, editors, MIT Press, Cambridge, MA
-
I. Guyon, S. Gunn, A. Ben-Hur, and G. Dror. Result analysis of the nips 2003 feature selection challenge. In L. K. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17. MIT Press, Cambridge, MA, 2005.
-
(2005)
Advances In Neural Information Processing Systems
, pp. 17
-
-
Guyon, I.1
Gunn, S.2
Ben-Hur, A.3
Dror, G.4
-
28
-
-
1542786232
-
A general framework for unsupervised processing of structured data
-
B. Hammer, A. Micheli, A. Sperduti, and M. Strickert. A general framework for unsupervised processing of structured data. Neurocomputing, 57:3-35, 2004.
-
(2004)
Neurocomputing
, vol.57
, pp. 3-35
-
-
Hammer, B.1
Micheli, A.2
Sperduti, A.3
Strickert, M.4
-
31
-
-
18544384330
-
Prototype based recognition of splice sites
-
U. Seiffert, L. Jain, and P. Schweitzer, editors, Springer-Verlag
-
B. Hammer, M. Strickert, and T. Villmann. Prototype based recognition of splice sites. In U. Seiffert, L. Jain, and P. Schweitzer, editors, Bioinformatic using Computational Intelligence Paradigms, pages 25-56. Springer-Verlag, 2005.
-
(2005)
Bioinformatic Using Computational Intelligence Paradigms
, pp. 25-56
-
-
Hammer, B.1
Strickert, M.2
Villmann, T.3
-
32
-
-
12844250052
-
Supervised neural gas with general similarity measure
-
B. Hammer, M. Strickert, and T. Villmann. Supervised neural gas with general similarity measure. Neural Processing Letters, 21(1):21-44, 2005.
-
(2005)
Neural Processing Letters
, vol.21
, Issue.1
, pp. 21-44
-
-
Hammer, B.1
Strickert, M.2
Villmann, T.3
-
33
-
-
0036791938
-
Generalized relevance learning vector quantization
-
B. Hammer and T. Villmann. Generalized relevance learning vector quantization. Neural Networks, 15(8-9):1059-1068, 2002.
-
(2002)
Neural Networks
, vol.15
, Issue.8-9
, pp. 1059-1068
-
-
Hammer, B.1
Villmann, T.2
-
34
-
-
0030449297
-
Kohonen map as a visualization tool for the analysis of protein sequences: Multiple alignments, domains and segments of secondary structures
-
J. Hanke and J. Reich. Kohonen map as a visualization tool for the analysis of protein sequences: multiple alignments, domains and segments of secondary structures. Computer Applications in the Biosciences, 12(6):447-454, 1996.
-
(1996)
Computer Applications In the Biosciences
, vol.12
, Issue.6
, pp. 447-454
-
-
Hanke, J.1
Reich, J.2
-
35
-
-
9144247917
-
Plastic mine detecting radar system using complex-valued selforganizing map that deals with multiple-frequency interferometric images
-
T. Hara and A. Hirose. Plastic mine detecting radar system using complex-valued selforganizing map that deals with multiple-frequency interferometric images. Neural Networks, 17:1201-1210.
-
Neural Networks
, vol.17
, pp. 1201-1210
-
-
Hara, T.1
Hirose, A.2
-
36
-
-
0002059002
-
Energy functions for self-organizing maps
-
In E. Oja and S. Kaski, editors, Elsevier, Amsterdam
-
T. Heskes. Energy functions for self-organizing maps. In E. Oja and S. Kaski, editors, Kohonen Maps, pages 303-316. Elsevier, Amsterdam, 1999.
-
(1999)
Kohonen Maps
, pp. 303-316
-
-
Heskes, T.1
-
37
-
-
0035506768
-
Self-organizing maps, vector quantization, and mixture modeling
-
November
-
T. Heskes. Self-organizing maps, vector quantization, and mixture modeling. IEEE Transactions on Neural Networks, 12(6):1299-1305, November 2001.
-
(2001)
IEEE Transactions On Neural Networks
, vol.12
, Issue.6
, pp. 1299-1305
-
-
Heskes, T.1
-
41
-
-
0035481807
-
On median graphs: Properties, algorithms, and applicationsa
-
X. Jiang, A. Münger, and H. Bunke. On median graphs: properties, algorithms, and applicationsa. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23:1144-1151, 2001.
-
(2001)
IEEE Transactions On Pattern Analysis and Machine Intelligence
, vol.23
, pp. 1144-1151
-
-
Jiang, X.1
Münger, A.2
Bunke, H.3
-
43
-
-
2942522853
-
Trustworthiness and metrics in visualizing similarity of gene expression
-
S. Kaski, J. Nikkilä, M. Oja, J. Venna, P. Törönen, and E. Castren. Trustworthiness and metrics in visualizing similarity of gene expression. BMC Bioinformatics, 4:48, 2003.
-
(2003)
BMC Bioinformatics
, vol.4
, pp. 48
-
-
Kaski, S.1
Nikkilä, J.2
Oja, M.3
Venna, J.4
Törönen, P.5
Castren, E.6
-
46
-
-
0036790769
-
How to make large self-organizing maps for nonvectorial data
-
T. Kohonen and P. Somervuo. How to make large self-organizing maps for nonvectorial data. Neural Networks, 15(8-9):945-952, 2002.
-
(2002)
Neural Networks
, vol.15
, Issue.8-9
, pp. 945-952
-
-
Kohonen, T.1
Somervuo, P.2
-
47
-
-
0041775676
-
Diffusion kernels on graphs and other discrete input spaces
-
R. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete input spaces. In ICML. 2002.
-
(2002)
ICML
-
-
Kondor, R.1
Lafferty, J.2
-
48
-
-
33745918396
-
-
Technical Report B15, Helsinki University of Techology, Laboratory of Computational Engineering, Espoo, Finland
-
T. Koskela, M. Varsta, J. Heikkonen, and K. Kaski. Time series prediction using RSOM with local linear modesl. Technical Report B15, Helsinki University of Techology, Laboratory of Computational Engineering, Espoo, Finland, 1997.
-
(1997)
Time Series Prediction Using RSOM With Local Linear Modesl
-
-
Koskela, T.1
Varsta, M.2
Heikkonen, J.3
Kaski, K.4
-
49
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
G. Lansckriet, N. Cristianini, P. Bartlett, L. El Ghaoui, and M. Jordan. Learning the kernel matrix with semidefinite programming. Journal of Machine Learning Research, 5:27-77, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 27-77
-
-
Lansckriet, G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.E.4
Jordan, M.5
-
51
-
-
1542680971
-
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis
-
J. Lee, A. Lendasse, and M. Verleysen. Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing, 57:49-67, 2004.
-
(2004)
Neurocomputing
, vol.57
, pp. 49-67
-
-
Lee, J.1
Lendasse, A.2
Verleysen, M.3
-
52
-
-
84886992486
-
Nonlinear dimensionality reduction of data manifolds with essential loops
-
to appear
-
J. Lee and M. Verleysen. Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing, to appear.
-
Neurocomputing
-
-
Lee, J.1
Verleysen, M.2
-
53
-
-
84886992486
-
Nonlinear dimensionality reduction of data manifolds with essential loops
-
to appear
-
J. Lee and M. Verleysen. Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing, to appear.
-
Neurocomputing
-
-
Lee, J.1
Verleysen, M.2
-
54
-
-
85156187897
-
Mismatch string kernels for svm protein classification
-
C. Leslie, E. Eskin, J. Weston, and W. Noble. Mismatch string kernels for svm protein classification. In NIPS. 2002.
-
(2002)
NIPS
-
-
Leslie, C.1
Eskin, E.2
Weston, J.3
Noble, W.4
-
55
-
-
0000353243
-
How to generate maps by maximizing the mutual information between input and output signals
-
R. Linsker. How to generate maps by maximizing the mutual information between input and output signals. Neural Computation, 1:402-411, 1989.
-
(1989)
Neural Computation
, vol.1
, pp. 402-411
-
-
Linsker, R.1
-
56
-
-
0041965869
-
-
H. Lodhi, J. Shawe-Taylor, N. Cristianini, and C. Watkins. Journal of Machine Learnin Research, 2:419-444, 2002.
-
(2002)
Journal of Machine Learnin Research
, vol.2
, pp. 419-444
-
-
Lodhi, H.1
Shawe-Taylor, J.2
Cristianini, N.3
Watkins, C.4
-
57
-
-
0027632248
-
'Neural-gas' network for vector quantization and its application to time-series prediction
-
T. M. Martinetz, S. G. Berkovich, and K. J. Schulten.'Neural-gas' network for vector quantization and its application to time-series prediction. IEEE Trans. on Neural Networks, 4(4):558-569, 1993.
-
(1993)
IEEE Trans. On Neural Networks
, vol.4
, Issue.4
, pp. 558-569
-
-
Martinetz, T.M.1
Berkovich, S.G.2
Schulten, K.J.3
-
58
-
-
0036066020
-
Curved feature metrics in models of visual cortex
-
N. Mayer, J. M. Herrmann, and T. Geisel. Curved feature metrics in models of visual cortex. Neurocomputing, 44-46:533-539, 2000.
-
(2000)
Neurocomputing
, vol.44-46
, pp. 533-539
-
-
Mayer, N.1
Herrmann, J.M.2
Geisel, T.3
-
59
-
-
35048854253
-
Modelling and clusterig of gene expressions using RBFs and and a shape similarity metric
-
C. Moller-Levet and H. Yin. Modelling and clusterig of gene expressions using RBFs and and a shape similarity metric. In Lecture Notes in Computer Science, volume 3177, pages 1-10. 2004.
-
(2004)
Lecture Notes In Computer Science
, vol.3177
, pp. 1-10
-
-
Moller-Levet, C.1
Yin, H.2
-
60
-
-
10944227262
-
Modelling gene expression time-series with radial basis function neural networks
-
C. Moller-Levet, H. Yin, K.-H. Cho, and O. Wolkenhauer. Modelling gene expression time-series with radial basis function neural networks. In IJCNN'04, pages 1191-1196. 2004.
-
(2004)
IJCNN'04
, pp. 1191-1196
-
-
Moller-Levet, C.1
Yin, H.2
Cho, K.-H.3
Wolkenhauer, O.4
-
61
-
-
14644433067
-
Semisupervised learning of hierarchical latent trait models for data visualization
-
I. Nabney, Y. Sun, P. Tino, and A. Kaban. Semisupervised learning of hierarchical latent trait models for data visualization. IEEE Transactions on Knowledge and Data Engineering, 17, 2005.
-
(2005)
IEEE Transactions On Knowledge and Data Engineering
, pp. 17
-
-
Nabney, I.1
Sun, Y.2
Tino, P.3
Kaban, A.4
-
62
-
-
9144260753
-
Improved learning odf Riemannian metrics for exploratory data analysis
-
J. Peltonen, A. Klami, and S. Kaski. Improved learning odf Riemannian metrics for exploratory data analysis. Neural Networks, 17:1087-1100, 2004.
-
(2004)
Neural Networks
, vol.17
, pp. 1087-1100
-
-
Peltonen, J.1
Klami, A.2
Kaski, S.3
-
63
-
-
15844393601
-
Clustering functional data with the SOM algorithm
-
M. Verleysen, editor, de side publications
-
F. Rossi, B. Conan-Guez, and A. El Golli. Clustering functional data with the SOM algorithm. In M. Verleysen, editor, Proc. ESANN'04, pages 305-312. de side publications, 2004.
-
(2004)
Proc. ESANN'04
, pp. 305-312
-
-
Rossi, F.1
Conan-Guez, B.2
Golli, A.E.3
-
65
-
-
36049042422
-
A hyperbolic topographic mapping for proximity data
-
A. Saalbach, T. Twellmann, T. Nattkemper, A. Wismüller, J. Ontrup, and H. Ritter. A hyperbolic topographic mapping for proximity data. In Artificial Intelligence and Applications, 2005.
-
(2005)
Artificial Intelligence and Applications
-
-
Saalbach, A.1
Twellmann, T.2
Nattkemper, T.3
Wismüller, A.4
Ontrup, J.5
Ritter, H.6
-
66
-
-
85156210800
-
Generalized learning vector quantization
-
In D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, editors, MIT Press, Cambridge, MA, USA
-
A. Sato and K. Yamada. Generalized learning vector quantization. In D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, editors, Advances in Neural Information Processing Systems 8. Proceedings of the 1995 Conference, pages 423-9. MIT Press, Cambridge, MA, USA, 1996.
-
(1996)
Advances In Neural Information Processing Systems 8. Proceedings of the 1995 Conference
, pp. 423-429
-
-
Sato, A.1
Yamada, K.2
-
68
-
-
0038159964
-
Soft learning vector quantization
-
S. Seo and K. Obermayer. Soft learning vector quantization. Neural Computation, 15:1589-1604, 2003.
-
(2003)
Neural Computation
, vol.15
, pp. 1589-1604
-
-
Seo, S.1
Obermayer, K.2
-
69
-
-
9144234927
-
Self-organizing maps and clustering methods for matrix data
-
S. Seo and K. Obermayer. Self-organizing maps and clustering methods for matrix data. Neural Networks, 17:1211-1230, 2004.
-
(2004)
Neural Networks
, vol.17
, pp. 1211-1230
-
-
Seo, S.1
Obermayer, K.2
-
70
-
-
0036133934
-
Clustering based on conditional distributions in an auxiliary space
-
J. Sinkkonen and S. Kaski. Clustering based on conditional distributions in an auxiliary space. Neural Computation, 14:217-239, 2002.
-
(2002)
Neural Computation
, vol.14
, pp. 217-239
-
-
Sinkkonen, J.1
Kaski, S.2
-
71
-
-
9144222224
-
Online algorithm for the self-organizing map of symbol strings
-
P. J. Somervuo. Online algorithm for the self-organizing map of symbol strings. Neural Networks, 17:1231-1240, 2004.
-
(2004)
Neural Networks
, vol.17
, pp. 1231-1240
-
-
Somervuo, P.J.1
-
75
-
-
84887007316
-
Kernels for structured natural language data
-
J. Suzuki, Y. Sasaki, and E. Maeda. Kernels for structured natural language data. In NIPS. 2003.
-
(2003)
NIPS
-
-
Suzuki, J.1
Sasaki, Y.2
Maeda, E.3
-
77
-
-
1942450610
-
Feature extraction by non-parametric mutual information maximization
-
K. Torkkola. Feature extraction by non-parametric mutual information maximization. Journal of Machine Learning Research, 3:1415-1438, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1415-1438
-
-
Torkkola, K.1
-
78
-
-
2442507204
-
Distance metric learning with kernels
-
O. Kaynak, editor, Istanbul
-
I. Tsang and J. Kwok. Distance metric learning with kernels. In O. Kaynak, editor, Proc. International Conference on Artificial Neural Networks (ICANN'2003), pages 126-129, Istanbul, 2003.
-
(2003)
Proc. International Conference On Artificial Neural Networks (ICANN'2003)
, pp. 126-129
-
-
Tsang, I.1
Kwok, J.2
-
79
-
-
2342585524
-
The EM algorithm for kernel matrix completion with auxiliary data
-
K. Tsuda, S. Akaho, and K. Asai. The EM algorithm for kernel matrix completion with auxiliary data. Journal of Machine LEarning Research, 4:67-81, 2003.
-
(2003)
Journal of Machine LEarning Research
, vol.4
, pp. 67-81
-
-
Tsuda, K.1
Akaho, S.2
Asai, K.3
-
80
-
-
4344601990
-
Recognition invariance obtained by extended and invariant features
-
S. Ullmann and E. Bart. Recognition invariance obtained by extended and invariant features. Neural Networks, 17:833-848, 2004.
-
(2004)
Neural Networks
, vol.17
, pp. 833-848
-
-
Ullmann, S.1
Bart, E.2
-
83
-
-
0344541989
-
Applications of the growing self-organizing map
-
T. Villmann and H.-U. Bauer. Applications of the growing self-organizing map. Neurocomputing, 21(1-3):91-100, 1998.
-
(1998)
Neurocomputing
, vol.21
, Issue.1-3
, pp. 91-100
-
-
Villmann, T.1
Bauer, H.-U.2
-
84
-
-
33845581946
-
Comparison of relevance learning vector quantization with other metric adaptive classification methods
-
T. Villmann, F. M. Schleif, and B. Hammer. Comparison of relevance learning vector quantization with other metric adaptive classification methods. Neural Networks, submitted.
-
Neural Networks
-
-
Villmann, T.1
Schleif, F.M.2
Hammer, B.3
-
86
-
-
85040242730
-
Fast kernels for string and tree matching
-
S. Vishwanathan and A. Smola. Fast kernels for string and tree matching. In NIPS. 2002.
-
(2002)
NIPS
-
-
Vishwanathan, S.1
Smola, A.2
-
87
-
-
1542535929
-
Recursive self-organising maps
-
N. Allinson, H. Yin, L. Allinson, and J. Slack, editors, Springer
-
T. Voegtlin and P. F. Dominey. Recursive self-organising maps. In N. Allinson, H. Yin, L. Allinson, and J. Slack, editors, Advances in Self-Organising Maps, pages 210-215. Springer, 2001.
-
(2001)
Advances In Self-Organising Maps
, pp. 210-215
-
-
Voegtlin, T.1
Dominey, P.F.2
-
88
-
-
0029669421
-
Invariant pattern recognition: A review
-
J. Wood. Invariant pattern recognition: A review. Pattern Recognition, 29:1-17, 1996.
-
(1996)
Pattern Recognition
, vol.29
, pp. 1-17
-
-
Wood, J.1
-
89
-
-
84887009249
-
-
In this volume
-
L. Yen, D. Vanvyve, F. Wouters, F. Fouss, M. Verleysen, and M. Saerens. Clustering using a random walk based distance measure. In this volume.
-
Clustering Using a Random Walk Based Distance Measure
-
-
Yen, L.1
Vanvyve, D.2
Wouters, F.3
Fouss, F.4
Verleysen, M.5
Saerens, M.6
-
90
-
-
84880784532
-
Parametric distance metric learning with label information
-
In O. Kaynak, editor, Acapulco, Mexico
-
Z. Zhang, J. Kwok, and D.-Y. Yeung. Parametric distance metric learning with label information. In O. Kaynak, editor, Proc. of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI'03), pages 1450-1452, Acapulco, Mexico, 2003.
-
(2003)
Proc. of the Eighteenth International Joint Conference On Artificial Intelligence (IJCAI'03)
, pp. 1450-1452
-
-
Zhang, Z.1
Kwok, J.2
Yeung, D.-Y.3
|