588 search results - page 11 / 118 » Computing the Dimension of Linear Subspaces |
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
103
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MFCS
2010
Springer
14 years 9 months ago
2010
Springer
We consider Boolean exact threshold functions defined by linear equations, and in general degree d polynomials. We give upper and lower bounds on the maximum magnitude (absolute va...
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
129
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ICDE
2012
IEEE
13 years 2 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
115
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ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...