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» Regularized Learning with Networks of Features
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MM
2009
ACM
203views Multimedia» more  MM 2009»
15 years 4 months ago
Distance metric learning from uncertain side information with application to automated photo tagging
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Ne...
HVEI
2010
14 years 9 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
UAI
2000
15 years 1 months ago
Being Bayesian about Network Structure
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
Nir Friedman, Daphne Koller
CSE
2009
IEEE
15 years 6 months ago
Davis Social Links or: How I Learned to Stop Worrying and Love the Net
—When the Internet was conceived, its fundamental operation was envisioned to be point-to-point communication allowing anybody to talk directly to anybody. With its increasing su...
Matt Spear, Xiaoming Lu, Shyhtsun Felix Wu
JMLR
2010
134views more  JMLR 2010»
14 years 6 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut