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CVPR
2010
IEEE
14 years 1 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
ECCV
2010
Springer
13 years 2 months ago
Supervised Label Transfer for Semantic Segmentation of Street Scenes
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
Honghui Zhang, Jianxiong Xiao, Long Quan
PAMI
2010
417views more  PAMI 2010»
13 years 3 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
MICRO
2006
IEEE
159views Hardware» more  MICRO 2006»
13 years 4 months ago
MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits
Shrinking devices to the nanoscale, increasing integration densities, and reducing of voltage levels down to the thermal limit, all conspire to produce faulty systems. Frequent oc...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...