1516 search results - page 172 / 304 » The Increasing Nvalue Constraint |
129
Voted
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
143
click to vote
ICCV
2001
IEEE
16 years 5 months ago
2001
IEEE
Several geometric active contour models have been proposed for segmentation in computer vision. The essential idea is to evolve a curve (in 2D) or a surface (in 3D) under constrai...
145
click to vote
ICCV
1998
IEEE
16 years 5 months ago
1998
IEEE
`Invariant regions' are image patches that automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. Such regions are then desc...
136
click to vote
ECCV
2008
Springer
16 years 5 months ago
2008
Springer
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
153
click to vote
ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...