barryridge / SSLVQ

Self-supervised multi-view learning vector quantization.

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SSLVQ

Self-supervised multi-view learning vector quantization.

A Matlab library distributed to accompany the publication of my Ph.D. thesis [1] and a journal article [2].

References:

[1] B. Ridge. Learning Basic Object Affordances in a Robotic System, University of Ljubljana, Faculty of Computer and Information Science, 2014.

[2] B. Ridge, A. Leonardis, A. Ude, M. Deniša, and D. Skočaj. Self-supervised online learning of basic object push affordances. International Journal of Advanced Robotic Systems, 2014.

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Self-supervised multi-view learning vector quantization.

License:GNU General Public License v3.0


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Language:MATLAB 98.7%Language:C 1.3%