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» Experimental Design for Variable Selection in Data Bases
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IJCAI
2001
15 years 8 months ago
Active Learning for Class Probability Estimation and Ranking
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Maytal Saar-Tsechansky, Foster J. Provost
OOPSLA
2009
Springer
16 years 1 months ago
Thorn: robust, concurrent, extensible scripting on the JVM
Scripting languages enjoy great popularity due their support for rapid and exploratory development. They typically have lightweight syntax, weak data privacy, dynamic typing, powe...
Bard Bloom, John Field, Nathaniel Nystrom, Johan &...
MM
2009
ACM
175views Multimedia» more  MM 2009»
15 years 11 months ago
Near-duplicate video matching with transformation recognition
Nowadays, the issue of near-duplicate video matching has been extensively studied. However, transformation, which is one of the major causes of near-duplicates, has been little di...
Zhipeng Wu, Shuqiang Jiang, Qingming Huang
CVPR
2006
IEEE
16 years 8 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
CIDM
2009
IEEE
16 years 1 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...