167 search results - page 25 / 34 » Supervised Feature Extraction Using Hilbert-Schmidt Norms |
95
Voted
ICONIP
2007
15 years 1 months ago
2007
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
100
Voted
ISCIS
2009
Springer
15 years 6 months ago
2009
Springer
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
114
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
119
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ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
118
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ICIP
2005
IEEE
16 years 1 months ago
2005
IEEE
This paper deals with the performance evaluation of three object invariant descriptors : Hu moments, Zernike moments and Fourier-Mellin descriptors. Experiments are conducted on a...