147 search results - page 10 / 30 » Markov random field models for hair and face segmentation |
98
Voted
JCB
2006
14 years 9 months ago
2006
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
ECCV
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
ICMCS
2007
IEEE
15 years 3 months ago
2007
IEEE
Automatic segmentation and classification of recorded meetings provides a basis towards understanding the content of a meeting. It enables effective browsing and querying in a me...
106
click to vote
RECOMB
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
123
click to vote
SIAMIS
2010
14 years 4 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...