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  Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition

Danafar, S., Gretton, A., & Schmidhuber, J. (2010). Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition. In J. Balcázar, F. Bonchi, A. Gionis, & M. Sebag (Eds.), ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010 (pp. 264-279). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-8BD7-A Version Permalink: https://hdl.handle.net/21.11116/0000-0007-8BD9-8
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_23.pdf (Publisher version)
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 Creators:
Danafar, S, Author           
Gretton, A1, 2, Author           
Schmidhuber, J, Author
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: Embedding probability distributions into a sufficiently rich (characteristic) reproducing kernel Hilbert space enables us to take higher order statistics into account. Characterization also retains effective statistical relation between inputs and outputs in regression and classification. Recent works established conditions for characteristic kernels on groups and semigroups. Here we study characteristic kernels on periodic domains, rotation matrices, and histograms. Such structured domains are relevant for homogeneity testing, forward kinematics, forward dynamics, inverse dynamics, etc. Our kernel-based methods with tailored characteristic kernels outperform previous methods on robotics problems and also on a widely used benchmark for recognition of human actions in videos.

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 Dates: 2010-09
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-15880-3_23
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Title: Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKKD 2010)
Place of Event: Barcelona, Spain
Start-/End Date: 2010-09-20 - 2010-09-24

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Title: ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010
Source Genre: Proceedings
 Creator(s):
Balcázar, JL, Editor
Bonchi, F, Editor
Gionis, A, Editor
Sebag, M, Editor
Affiliations:
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 264 - 279 Identifier: ISBN: 978-3-642-15879-7

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 6321 Sequence Number: - Start / End Page: - Identifier: -