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» A general markov framework for page importance computation
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CIKM
2005
Springer
14 years 2 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan
JCB
2006
215views more  JCB 2006»
13 years 9 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
CVPR
2004
IEEE
14 years 11 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
SERP
2003
13 years 10 months ago
Reliability Modeling Using UML
System reliability has become an increasingly important benchmark in measuring service continuity. As part of many service level agreements, system performance is gauged by how lo...
Chokchai Leangsuksun, Hertong Song, Lixin Shen
IJCV
2007
178views more  IJCV 2007»
13 years 9 months ago
Stereo for Image-Based Rendering using Image Over-Segmentation
In this paper, we propose a stereo method specifically designed for image-based rendering. For effective image-based rendering, the interpolated views need only be visually plaus...
C. Lawrence Zitnick, Sing Bing Kang