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» Relative Margin Machines
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169
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SC
2005
ACM
15 years 9 months ago
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Fan-Yin Tzeng, Kwan-Liu Ma
128
Voted
COLT
2005
Springer
15 years 9 months ago
Learnability of Bipartite Ranking Functions
The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...
Shivani Agarwal, Dan Roth
EMMCVPR
2005
Springer
15 years 9 months ago
Increasing Efficiency of SVM by Adaptively Penalizing Outliers
In this paper, a novel training method is proposed to increase the classification efficiency of support vector machine (SVM). The efficiency of the SVM is determined by the number ...
Yiqiang Zhan, Dinggang Shen
128
Voted
MLDM
2005
Springer
15 years 9 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
130
Voted
WDAG
2005
Springer
90views Algorithms» more  WDAG 2005»
15 years 9 months ago
Proving Atomicity: An Assertional Approach
Atomicity (or linearizability) is a commonly used consistency criterion for distributed services and objects. Although atomic object implementations are abundant, proving that algo...
Gregory Chockler, Nancy A. Lynch, Sayan Mitra, Jos...