93 search results - page 8 / 19 » Learning to Detect Objects of Many Classes Using Binary Clas... |
100
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PRL
2007
14 years 9 months ago
2007
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
COLT
2008
Springer
14 years 11 months ago
2008
Springer
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
73
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Our objective is to obtain a state-of-the art object category
detector by employing a state-of-the-art image classifier
to search for the object in all possible image subwindows....
113
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ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
101
Voted
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper we present a method for learning classspecific
features for recognition. Recently a greedy layerwise
procedure was proposed to initialize weights of deep
belief ne...