58 search results - page 1 / 12 » Group-sensitive multiple kernel learning for object categori... |
121
Voted
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
131
Voted
ICPR
2010
IEEE
15 years 21 days ago
2010
IEEE
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
107
Voted
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
138
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
2007
IEEE
16 years 4 months ago
2007
IEEE
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...