101 search results - page 14 / 21 » Fisher Discrimination Dictionary Learning for Sparse Represe... |
86
Voted
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Given a sequence of observable features of a linear dynamical system (LDS), we propose the problem of finding a representation of the LDS which is sparse in terms of a given dict...
114
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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...
117
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CVPR
2011
IEEE
14 years 3 months ago
2011
IEEE
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
107
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CORR
2010
Springer
14 years 11 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
114
Voted
TSP
2010
14 years 6 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...