2865 search results - page 252 / 573 » Learning Models for Object Recognition |
151
Voted
ICIP
2004
IEEE
16 years 5 months ago
2004
IEEE
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
190
Voted
CVPR
2011
IEEE
14 years 12 months ago
2011
IEEE
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...
129
Voted
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
112
Voted
ALT
2009
Springer
15 years 7 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
148
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...