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» Modeling Image Textures by Gibbs Random Fields
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95
Voted
CVPR
2010
IEEE
15 years 3 months ago
Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-seng chu...
103
Voted
MICCAI
2005
Springer
15 years 11 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
83
Voted
CVPR
2008
IEEE
16 years 7 days ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
ICPR
2002
IEEE
15 years 11 months ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu
RTI
2000
169views more  RTI 2000»
14 years 10 months ago
Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures
Tamás Szirányi, Josiane Zerubia, L&a...