Incorporating Invariances in Non-Linear Support Vector Machines
2001
Technical Report
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We consider the problem of how to incorporate in the Support Vector Machine (SVM) framework invariances given by some a priori known transformations under which the data should be invariant. It extends some previous work which was only applicable with linear SVMs and we show on a digit recognition task that the proposed approach is superior to the traditional Virtual Support Vector method.
Author(s): | Chapelle, O. and Schölkopf, B. |
Year: | 2001 |
Day: | 0 |
Department(s): | Empirische Inferenz |
Bibtex Type: | Technical Report (techreport) |
Institution: | Max Planck Institute for Biological Cybernetics / Biowulf Technologies |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
PostScript
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BibTex @techreport{2166, title = {Incorporating Invariances in Non-Linear Support Vector Machines}, author = {Chapelle, O. and Sch{\"o}lkopf, B.}, organization = {Max-Planck-Gesellschaft}, institution = {Max Planck Institute for Biological Cybernetics / Biowulf Technologies}, school = {Biologische Kybernetik}, year = {2001}, doi = {} } |