1427 search results - page 26 / 286 » Markov Random Field Modeling in Computer Vision |
CVPR
2007
IEEE
14 years 11 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...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
TSP
2010
13 years 3 months ago
2010
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
We investigate the automated reconstruction of piecewise smooth 3D curves, using subdivision curves as a simple but flexible curve representation. This representation allows taggin...
DAGM
2008
Springer
13 years 10 months ago
2008
Springer
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...