1891 search results - page 164 / 379 » Constrained Subspace Modelling |
164
Voted
ECCV
2004
Springer
16 years 5 months ago
2004
Springer
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
240
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ICDE
2009
IEEE
16 years 5 months ago
2009
IEEE
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
231
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ICDE
2008
IEEE
16 years 5 months ago
2008
IEEE
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
169
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
147
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...