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TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 9 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
ECCV
2008
Springer
16 years 8 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
WWW
2008
ACM
16 years 7 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
CCS
2009
ACM
16 years 7 months ago
A conceptual framework for Group-Centric secure information sharing
In this paper, we propose a conceptual framework for developing a family of models for Group-Centric information sharing. The traditional approach to information sharing, characte...
Ram Krishnan, Ravi S. Sandhu, Jianwei Niu, William...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
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