458 search results - page 51 / 92 » Neural conditional random fields |
EMMCVPR
2011
Springer
12 years 7 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
JMLR
2012
11 years 10 months ago
2012
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
PAMI
2011
12 years 10 months ago
2011
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
ICIG
2009
IEEE
13 years 5 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...