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» A Kernel Method for the Two-Sample Problem
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CVPR
2007
IEEE
14 years 10 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang
IPPS
2009
IEEE
14 years 3 months ago
Minimizing startup costs for performance-critical threading
—Using the well-known ATLAS and LAPACK dense linear algebra libraries, we demonstrate that the parallel management overhead (PMO) can grow with problem size on even statically sc...
Anthony M. Castaldo, R. Clint Whaley
ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
14 years 2 months ago
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
14 years 1 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie
ACMICEC
2007
ACM
245views ECommerce» more  ACMICEC 2007»
14 years 14 days ago
Keyword generation for search engine advertising using semantic similarity between terms
An important problem in search engine advertising is keyword1 generation. In the past, advertisers have preferred to bid for keywords that tend to have high search volumes and hen...
Vibhanshu Abhishek, Kartik Hosanagar