-
1
-
-
84893499976
-
Online handwriting recognition with support vector machines - A kernel approach
-
Bahlmann, C., Haasdonk, B., and Burkhardt, H. Online handwriting recognition with support vector machines-a kernel approach. In Proc. of 8th Intern. Workshop on Frontiers in Handwriting Recognition, pp. 49-54, 2002.
-
(2002)
Proc. of 8th Intern. Workshop on Frontiers in Handwriting Recognition
, pp. 49-54
-
-
Bahlmann, C.1
Haasdonk, B.2
Burkhardt, H.3
-
2
-
-
23344436439
-
Why Delannoy numbers?
-
DOI 10.1016/j.jspi.2005.02.004, PII S0378375805000534, Lattice Path Combinatorics and Discrete Distributions
-
Banderier, C. and Schwer, S. Why Delannoy numbers? Journal of Stat. Plann. and Inf., 135(1):40-54, 2005. (Pubitemid 41102580)
-
(2005)
Journal of Statistical Planning and Inference
, vol.135
, Issue.1
, pp. 40-54
-
-
Banderier, C.1
Schwer, S.2
-
4
-
-
34547535371
-
A kernel for time series based on global alignments
-
Cuturi, M., Vert, J.-P., Birkenes, Ø., and Matsui, T. A kernel for time series based on global alignments. In Proceedings of ICASSP, volume II, pp. 413-416, 2007.
-
(2007)
Proceedings of ICASSP
, vol.2
, pp. 413-416
-
-
Cuturi, M.1
Vert, J.-P.2
Birkenes, Ø.3
Matsui, T.4
-
7
-
-
0038259114
-
Classes of kernels for machine learning: A statistics perspective
-
Genton, M.G. Classes of kernels for machine learning: a statistics perspective. Journal of Machine Learning Research, 2:312, 2002.
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 312
-
-
Genton, M.G.1
-
8
-
-
0036858503
-
Compactly supported correlation functions
-
Gneiting, T. Compactly supported correlation functions. Journal of Multivariate Analysis, 83(2):493-508, 2002.
-
(2002)
Journal of Multivariate Analysis
, vol.83
, Issue.2
, pp. 493-508
-
-
Gneiting, T.1
-
9
-
-
56349096866
-
Support vector machines and dynamic time warping for time series
-
Gudmundsson, S., Runarsson, T.P., and Sigurdsson, S. Support vector machines and dynamic time warping for time series. In IEEE IJCNN 2008, pp. 2772-2776.
-
IEEE IJCNN 2008
, pp. 2772-2776
-
-
Gudmundsson, S.1
Runarsson, T.P.2
Sigurdsson, S.3
-
11
-
-
34948865790
-
Image classification with segmentation graph kernels
-
Harchaoui, Z. and Bach, F. Image classification with segmentation graph kernels. In CVPR, 2007.
-
(2007)
CVPR
-
-
Harchaoui, Z.1
Bach, F.2
-
13
-
-
26944488293
-
Embedding time series data for classification
-
Hayashi, A., Mizuhara, Y., and Suematsu, N. Embedding time series data for classification. Machine Learning and Data Mining in Pattern Recognition, pp. 356-365, 2005.
-
(2005)
Machine Learning and Data Mining in Pattern Recognition
, pp. 356-365
-
-
Hayashi, A.1
Mizuhara, Y.2
Suematsu, N.3
-
14
-
-
51049096780
-
Kernel methods in machine learning
-
Hofmann, T., Scholkopf, B., and Smola, A.J. Kernel methods in machine learning. Annals of Statistics, 36(3):1171, 2008.
-
(2008)
Annals of Statistics
, vol.36
, Issue.3
, pp. 1171
-
-
Hofmann, T.1
Scholkopf, B.2
Smola, A.J.3
-
15
-
-
0016467604
-
Minimum prediction residual principle applied to speech recognition
-
February
-
Itakura, F. Minimum prediction residual principle applied to speech recognition. IEEE Trans. on Acoustics, Speech and Sig. Proc., 23(1):67-72, February 1975.
-
(1975)
IEEE Trans. on Acoustics, Speech and Sig. Proc.
, vol.23
, Issue.1
, pp. 67-72
-
-
Itakura, F.1
-
16
-
-
18544365764
-
Probability product kernels
-
Jebara, T., Kondor, R., and Howard, A. Probability product kernels. Journal of Machine Learning Research, 5:819-844, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 819-844
-
-
Jebara, T.1
Kondor, R.2
Howard, A.3
-
17
-
-
70350482320
-
Temporal integration for audio classification with application to musical instrument classification
-
Joder, C., Essid, S., and Richard, G. Temporal integration for audio classification with application to musical instrument classification. IEEE Transactions on Audio, Speech, and Language Processing, 17(1):174-186, 2009.
-
(2009)
IEEE Transactions on Audio, Speech, and Language Processing
, vol.17
, Issue.1
, pp. 174-186
-
-
Joder, C.1
Essid, S.2
Richard, G.3
-
18
-
-
67349287486
-
Faster retrieval with a two-pass dynamic-time-warping lower bound
-
Lemire, D. Faster retrieval with a two-pass dynamic-time-warping lower bound. Pattern Recognition, 42(9):2169-2180, 2009.
-
(2009)
Pattern Recognition
, vol.42
, Issue.9
, pp. 2169-2180
-
-
Lemire, D.1
-
21
-
-
78149490136
-
Learning Pedestrian Trajectories with Kernels
-
Ricci, E., Tobia, F., and Zen, G. Learning Pedestrian Trajectories with Kernels. In Proc. of the 20th International Conference in Pattern Recognition, 2010.
-
Proc. of the 20th International Conference in Pattern Recognition, 2010
-
-
Ricci, E.1
Tobia, F.2
Zen, G.3
-
23
-
-
0017930815
-
DYNAMIC PROGRAMMING ALGORITHM OPTIMIZATION FOR SPOKEN WORD RECOGNITION.
-
Sakoe, H. and Chiba, S. Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. on Acoustics, Speech, and Sig. Proc., 26:43-49, 1978. (Pubitemid 8601900)
-
(1978)
IEEE Transactions on Acoustics, Speech, and Signal Processing
, vol.ASSP-26
, Issue.1
, pp. 43-49
-
-
Sakoe, H.1
Chiba, S.2
-
24
-
-
84880863499
-
Dynamic time-alignment kernel in support vector machine
-
Dietterich, T. G., Becker, S., and Ghahramani, Z. (eds.), Cambridge, MA, MIT Press
-
Shimodaira, H., Noma, K.-I., Nakai, M., and Sagayama, S. Dynamic time-alignment kernel in support vector machine. In Dietterich, T. G., Becker, S., and Ghahramani, Z. (eds.), Advances in Neural Information Processing Systems 14, Cambridge, MA, 2002. MIT Press.
-
(2002)
Advances in Neural Information Processing Systems
, pp. 14
-
-
Shimodaira, H.1
Noma, K.-I.2
Nakai, M.3
Sagayama, S.4
-
26
-
-
33847314004
-
Large scale learning with string kernels
-
MIT Press
-
Sonnenburg, S., Rieck, K., and Rätsch, G. Large scale learning with string kernels. In Large Scale Kernel Machines, pp. 73-103. MIT Press, 2007.
-
(2007)
Large Scale Kernel Machines
, pp. 73-103
-
-
Sonnenburg, S.1
Rieck, K.2
Rätsch, G.3
-
27
-
-
2942716774
-
Objects counted by the central Delannoy numbers
-
Sulanke, R.A. Objects counted by the central Delannoy numbers. J. Integer Seq, 6(1), 2003.
-
(2003)
J. Integer Seq
, vol.6
, Issue.1
-
-
Sulanke, R.A.1
-
28
-
-
33846637208
-
Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes
-
DOI 10.1007/s11263-006-9352-0
-
Vishwanathan, S.V.N., Smola, A.J., and Vidal, R. Binetcauchy kernels on dynamical systems and its application to the analysis of dynamic scenes. International Journal of Computer Vision, 73(1):95-119, 2007. (Pubitemid 46181619)
-
(2007)
International Journal of Computer Vision
, vol.73
, Issue.1
, pp. 95-119
-
-
Vishwanathan, S.V.N.1
Smola, A.J.2
Vidal, R.3
-
29
-
-
70349357562
-
Graph kernels
-
Vishwanathan, S.V.N., Borgwardt, K.M., Kondor, I.R., and Schraudolph, N.N. Graph kernels. Journal of Machine Learning Research, 9:1-37, 2008.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1-37
-
-
Vishwanathan, S.V.N.1
Borgwardt, K.M.2
Kondor, I.R.3
Schraudolph, N.N.4
-
30
-
-
77956006920
-
Unsupervised discovery of facial events
-
Zhou, F., De la Torre, F., and Cohn, J.F. Unsupervised discovery of facial events. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp. 2574-2581, 2010.
-
(2010)
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
, pp. 2574-2581
-
-
Zhou, F.1
De La Torre, F.2
Cohn, J.F.3
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