58 search results - page 4 / 12 » Group-sensitive multiple kernel learning for object categori... |
CORR
2010
Springer
14 years 4 months ago
2010
Springer
Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different for...
103
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CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
PAMI
2011
14 years 4 months ago
2011
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
73
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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....