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CORR
2007
Springer
112views Education» more  CORR 2007»
15 years 2 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
CVPR
2007
IEEE
16 years 4 months ago
Learning to Detect A Salient Object
We study visual attention by detecting a salient object in an input image. We formulate salient object detection as an image segmentation problem, where we separate the salient obj...
Tie Liu, Jian Sun, Nanning Zheng, Xiaoou Tang, Heu...
133
Voted
ICCS
2007
Springer
15 years 8 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
128
Voted
ICDM
2009
IEEE
188views Data Mining» more  ICDM 2009»
15 years 10 days ago
Binomial Matrix Factorization for Discrete Collaborative Filtering
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Jinlong Wu
100
Voted
CHES
2004
Springer
99views Cryptology» more  CHES 2004»
15 years 8 months ago
Defeating Countermeasures Based on Randomized BSD Representations
Abstract. The recent development of side channel attacks has lead implementers to use increasingly sophisticated countermeasures in critical operations such as modular exponentiati...
Pierre-Alain Fouque, Frédéric Muller...