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Oriol Vinyals Visiting Scholar No longer a member of RI.

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Past Projects

Component Analysis for Data Analysis - Component analysis (CA) is a set of techniques to decompose a signal (e.g. audio, video) into interesting components useful for classification, clustering, modeling or visualization. This project extends traditional CA techniques and unifies them, providing a cleaner theoretical framework for its analysis.

Learning Kernel Expansions for Image Classification - Learning non-linear representations of a signal in order to improve classification performance.

Publications

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Learning Kernel Expansions for Image Classification
  F. De la Torre Frade and O. Vinyals
  IEEE Conference on Computer Vision and Pattern Recognition, June, 2007. [Abstract]
  Download: pdf [830 KB] copyrighted

• Parameterized Kernels for Support Vector Machine Classification
  F. De la Torre Frade and O. Vinyals
  International Conference on Computer Vision Theory and Applications, March, 2007, pp. 207-213. [Abstract]