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» Distributed linear discriminant analysis
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131
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ICML
2007
IEEE
16 years 1 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
133
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CVPR
2012
IEEE
13 years 3 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
85
Voted
DATE
2006
IEEE
94views Hardware» more  DATE 2006»
15 years 6 months ago
Large power grid analysis using domain decomposition
: This paper presents a domain decomposition (DD) technique for efficient simulation of large-scale linear circuits such as power distribution networks. Simulation results show th...
Quming Zhou, Kai Sun, Kartik Mohanram, Danny C. So...
98
Voted
ICANNGA
2009
Springer
134views Algorithms» more  ICANNGA 2009»
15 years 7 months ago
A Generative Model for Self/Non-self Discrimination in Strings
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
Matti Pöllä
115
Voted
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
16 years 1 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu