210 search results - page 23 / 42 » Conditional Random Fields: Probabilistic Models for Segmenti... |
ISBI
2006
IEEE
14 years 8 months ago
2006
IEEE
Most hybrid 3D segmentation methods either heuristically couple the respective algorithm or combine a true 3D with a 2D algorithm due to computational considerations. In this pape...
NIPS
2004
13 years 9 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
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...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional ...
PKDD
2007
Springer
14 years 1 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...