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» Markov Random Field Models in Computer Vision
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ICPR
2006
IEEE
16 years 2 months ago
A Charged Geometric Model for Active Contours
This paper presents a new deformable model based on charged particle dynamics and geometric contour propagation. It detects object boundaries with a charged active contour that pr...
Ronghua Yang, Majid Mirmehdi
ICML
2007
IEEE
16 years 2 months ago
Comparisons of sequence labeling algorithms and extensions
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Nam Nguyen, Yunsong Guo
ICCV
2005
IEEE
16 years 3 months ago
Fixed Point Probability Field for Complex Occlusion Handling
In this paper, we show that in a multi-camera context, we can effectively handle occlusions in real-time at each frame independently, even when the only available data comes from ...
François Fleuret, Pascal Fua, Richard Lenga...
ICASSP
2011
IEEE
14 years 5 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...
CVPR
2009
IEEE
16 years 8 months ago
Discriminative Structure Learning of Hierarchical Representations for Object Detection
A variety of flexible models have been proposed to detect objects in challenging real world scenes. Motivated by some of the most successful techniques, we propose a hierarchica...
Paul Schnitzspan (TU Darmstadt), Mario Fritz (Univ...