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» Regularization and feature selection for networked features
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CVPR
2006
IEEE
16 years 7 months ago
Accurate Face Alignment using Shape Constrained Markov Network
In this paper, we present a shape constrained Markov network for accurate face alignment. The global face shape is defined as a set of weighted shape samples which are integrated ...
Lin Liang, Fang Wen, Ying-Qing Xu, Xiaoou Tang, He...
AIRWEB
2007
Springer
15 years 11 months ago
Splog Detection Using Self-similarity Analysis on Blog Temporal Dynamics
This paper focuses on spam blog (splog) detection. Blogs are highly popular, new media social communication mechanisms. The presence of splogs degrades blog search results as well...
Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun'ichi Tatemu...
INFOCOM
2005
IEEE
15 years 11 months ago
GLIDER: gradient landmark-based distributed routing for sensor networks
— We present Gradient Landmark-Based Distributed Routing (GLIDER), a novel naming/addressing scheme and associated routing algorithm, for a network of wireless communicating node...
Qing Fang, Jie Gao, Leonidas J. Guibas, V. de Silv...
ICML
2010
IEEE
15 years 6 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
INFOCOM
2012
IEEE
13 years 8 months ago
Robust multi-pipeline scheduling in low-duty-cycle wireless sensor networks
—Data collection is one of the major traffic pattern in wireless sensor networks, which requires regular source nodes to send data packets to a common sink node with limited end...
Yongle Cao, Shuo Guo, Tian He