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» On the Convergence of Boosting Procedures
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ICML
2003
IEEE
14 years 9 months ago
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to S...
Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Ha...
CRYPTO
2007
Springer
145views Cryptology» more  CRYPTO 2007»
14 years 2 months ago
Chernoff-Type Direct Product Theorems
Consider a challenge-response protocol where the probability of a correct response is at least α for a legitimate user and at most β < α for an attacker. One example is a CAP...
Russell Impagliazzo, Ragesh Jaiswal, Valentine Kab...
ICCV
2003
IEEE
14 years 10 months ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...
CCS
2009
ACM
14 years 9 months ago
Efficient IRM enforcement of history-based access control policies
Inlined Reference Monitor (IRM) is an established enforcement mechanism for history-based access control policies. IRM enforcement injects monitoring code into the binary of an un...
Fei Yan, Philip W. L. Fong
ICML
2008
IEEE
14 years 9 months ago
Estimating local optimums in EM algorithm over Gaussian mixture model
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung