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CVPR
2007
IEEE
15 years 10 months ago
Improving Part based Object Detection by Unsupervised, Online Boosting
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
Bo Wu, Ram Nevatia
ESWA
2006
103views more  ESWA 2006»
15 years 6 months ago
Model gene network by semi-fixed Bayesian network
Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...
Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal
ICALT
2010
IEEE
15 years 5 months ago
Reusing Adaptation Strategies in Adaptive Educational Hypermedia Systems
—Due to the difficulty and thus effort and expenses involved in creating them, personalization strategies in learning environments have to demonstrate a higher returnon-investmen...
Joshua Scotton, Alexandra I. Cristea
JMLR
2010
104views more  JMLR 2010»
15 years 1 months ago
Learnability, Stability and Uniform Convergence
The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental and long-standing answer, at least for the case of supervised c...
Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, K...
ICCV
2011
IEEE
14 years 6 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman