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123
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CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
129
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
111
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
88
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Robust vehicle detection is a challenging task given vehicles with different types, and sizes, and at different distances. This paper proposes a Boosted Gabor Features (BGF) appro...
94
Voted
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
: Significant progress has been made by the computer vision community in recent years along two fronts: (i) developing complex spatial-temporal models for object registration and t...