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» Enhancing Automated Test Selection in Probabilistic Networks
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GLOBECOM
2007
IEEE
14 years 5 months ago
Robust Optimization for Selecting NetFlow Points of Measurement in an IP Network
— NetFlow is a solution to make an in-depth traffic analysis possible in IP networks. Most of the telecommunication operators have already deployed it, or intend to do so, for n...
Mustapha Bouhtou, Olivier Klopfenstein
MM
2009
ACM
203views Multimedia» more  MM 2009»
14 years 3 months ago
Distance metric learning from uncertain side information with application to automated photo tagging
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Ne...
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
14 years 9 days ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
12 years 1 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
ISCAS
2006
IEEE
116views Hardware» more  ISCAS 2006»
14 years 4 months ago
Signal processing for brain-computer interface: enhance feature extraction and classification
Abstract-In this paper we present a new scheme for brain imaginary movement invovles sophisticated spatial-temporalsignal processing and classification for electroencephalogram spe...
Haihong Zhang, Cuntai Guan, Yuanqing Li