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We propose in this work a new family of kernels for variable-length time series.
The arithmetical character of the Wishart distribution
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Using the fisher kernel method to detect remote protein homologies
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Using the Nyström method to speed up kernel machines
C. Williams and M. Seeger · 2001
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Online handwriting recognition with support vector machines-a kernel approach
C. Bahlmann, B. Haasdonk, and H. Burkhardt · 2002
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Efficient SVM training using low-rank kernel representations
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Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms
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The spectrum kernel: a string kernel for svm protein classific ation
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Covariance kernels from bayesian generative models
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Marginalized kernels between labeled graphs
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C. Cortes, P. Haffner, and M. Mohri · 2004
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Learning with distance substitution kernels
B. Haasdonk and C. Bahlmann · 2004
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T. Jebara, R. Kondor, and A. Howard · 2004
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J.-P. Vert, H. Saigo, and T. Akutsu · 2004
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Binet-cauchy kernels
S. Vishwanathan and A. Smola · 2004
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Predictive low-rank decomposition for kernel methods
F. R. Bach and M. I. Jordan · 2005
Metric learning for text documents
G. Lebanon · 2006
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Kernels on structured objects through nested histograms
M. Cuturi and K. Fukumizu · 2007
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A kernel for time series based on global alignments
M. Cuturi, J.-P. Vert, Øystein. Birkenes, and T. Matsui · 2007
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Image classification with segmentation graph kernels
Z. Harchaoui and F. Bach · 2007
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Fast and effective kernels for relational learning from texts
A. Moschitti and F. Zanzotto · 2007
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Large scale learning with string kernels
S. Sonnenburg, K. Rieck, F. F. Ida, and G. Rätsch · 2007
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The context-tree kernel for strings
M. Cuturi and J.-P. Vert · 2005
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Semigroup kernels on measures
M. Cuturi, K. Fukumizu, and J.-P. Vert · 2005
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On the Nyström method for approximating a gram matrix for improved kernel-based learning
P. Drineas and M. W. Mahoney · 2005
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The pyramid match kernel: Discriminative classification with sets of image features
K. Grauman and T. Darrell · 2005
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Embedding time series data for classification
A. Hayashi, Y. Mizuhara, and N. Suematsu · 2005
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Binet-cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes
S. Vishwanathan, A. Smola, and R. Vidal · 2007
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Kernel methods in machine learning
T. Hofmann, B. Scholkopf, and A. Smola · 2008
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A large margin approach for writer independent online handwriting classification
K. Kumara, R. Agrawal, and C. Bhattacharyya · 2008
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Alignment and classification of time series gene expression in clinical studies
T. Lin, N. Kaminski, and Z. Bar-Joseph · 2008
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Graph kernels
S. Vishwanathan, K. Borgwardt, I. Kondor, and N. Schraudolph · 2008
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Fast kernel-based independent component analysis
H. Shen, S. Jegelka, and A. Gretton · 2009
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Fast subtree kernels on graphs
N. Shervashidze and K. Borgwardt · 2009
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The spectrum of kernel random matrices
N. El Karoui · 2010
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UCI machine learning repository, http://archive.ics.uci.edu/ml, 2010
A. Frank and A. Asuncion · 2010
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Unsupervised discovery of facial events
F. Zhou, F. De la Torre, and J. Cohn · 2010
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