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» Global Ranking Using Continuous Conditional Random Fields
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CVPR
2007
IEEE
16 years 4 months ago
Cast Shadow Removal Combining Local and Global Features
In this paper, we present a method using pixel-level information, local region-level information and global-level information to remove shadow. At the pixel-level, we employ GMM t...
Zhou Liu, Kaiqi Huang, Tieniu Tan, Liangsheng Wang
144
Voted
CIKM
2010
Springer
15 years 16 days ago
Improving verbose queries using subset distribution
Dealing with verbose (or long) queries poses a new challenge for information retrieval. Selecting a subset of the original query (a "sub-query") has been shown to be an ...
Xiaobing Xue, Samuel Huston, W. Bruce Croft
125
Voted
IR
2006
15 years 2 months ago
Table extraction for answer retrieval
The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
Xing Wei, W. Bruce Croft, Andrew McCallum
94
Voted
UAI
2004
15 years 3 months ago
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
Mathias Drton, Thomas S. Richardson
138
Voted
WSCG
2004
217views more  WSCG 2004»
15 years 3 months ago
Blending Textured Images Using a Non-parametric Multiscale MRF Method
In this paper we describe a new method for improving the representation of textures in blends of multiple images based on a Markov Random Field (MRF) algorithm. We show that direc...
Bernard Tiddeman