1427 search results - page 174 / 286 » Markov Random Field Models in Computer Vision |
138
Voted
CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...
139
Voted
JMLR
2012
13 years 4 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...
128
Voted
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
In this work, we extend a common framework for seeded
image segmentation that includes the graph cuts, ran-
dom walker, and shortest path optimization algorithms.
Viewing an ima...
104
click to vote
ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
97
Voted
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...