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» Learning Probabilistic Models of Link Structure
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ICA
2010
Springer
15 years 5 hour ago
Probabilistic Latent Tensor Factorization
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
Y. Kenan Yilmaz, A. Taylan Cemgil
CVPR
2011
IEEE
14 years 9 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
SIGIR
2000
ACM
15 years 4 months ago
OCELOT: a system for summarizing Web pages
Abstract We introduce OCELOT, a prototype system for automatically generating the “gist” of a web page by summarizing it. Although most text summarization research to date has ...
Adam L. Berger, Vibhu O. Mittal
RECOMB
2006
Springer
16 years 4 days ago
Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data
MicroRNAs (miRNAs) have recently been discovered as an important class of non-coding RNA genes that play a major role in regulating gene expression, providing a means to control th...
Jim C. Huang, Quaid Morris, Brendan J. Frey
CVPR
2007
IEEE
16 years 1 months ago
Learning Conditional Random Fields for Stereo
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
Daniel Scharstein, Chris Pal