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144
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
130
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
Scene recognition in an unconstrained setting is an open and challenging problem with wide applications. In this paper, we study the role of scene dynamics for improved representa...
125
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ACIVS
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
121
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BMVC
2010
15 years 1 months ago
2010
Variational level set methods are formulated as energy minimisation problems, which are often solved by gradient-based optimisation methods, such as gradient descent. Unfortunatel...
146
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CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Coalescence, meaning the tracker associates more than one trajectories to some targets while loses track for others, is a challenging problem for visual tracking of multiple targe...