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ECCV
2008
Springer
16 years 8 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
WWW
2006
ACM
16 years 7 months ago
Random sampling from a search engine's index
We revisit a problem introduced by Bharat and Broder almost a decade ago: how to sample random pages from the corpus of documents indexed by a search engine, using only the search...
Ziv Bar-Yossef, Maxim Gurevich
PODC
2009
ACM
16 years 7 months ago
Randomized mutual exclusion in O(log N / log log N) RMRs
d Abstract] Danny Hendler Department of Computer-Science Ben-Gurion University hendlerd@cs.bgu.ac.il Philipp Woelfel Department of Computer-Science University of Calgary woelfel@cp...
Danny Hendler, Philipp Woelfel
184
Voted
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
RECOMB
2005
Springer
16 years 7 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...