1224 search results - page 151 / 245 » On the Optimality of the Dimensionality Reduction Method |
197
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
158
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
168
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
182
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
160
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ICCV
1999
IEEE
16 years 8 months ago
1999
IEEE
Given video footage of a person's face, we present new techniques to automatically recover the face position and the facial expression from each frame in the video sequence. ...