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» Markov Random Field Modeling in Computer Vision
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ICPR
2006
IEEE
14 years 10 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
14 years 10 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
14 years 11 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
13 years 1 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
15 years 4 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...