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ICML
2010
IEEE
13 years 9 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
GLOBECOM
2007
IEEE
13 years 8 months ago
Cooperative Beamforming for Wireless Ad Hoc Networks
—Via collaborative beamforming, nodes in a wireless network are able to transmit a common message over long distances in an energy efficient fashion. However, the process of mak...
Lun Dong, Athina P. Petropulu, H. Vincent Poor
ICS
2005
Tsinghua U.
14 years 2 months ago
High performance support of parallel virtual file system (PVFS2) over Quadrics
Parallel I/O needs to keep pace with the demand of high performance computing applications on systems with ever-increasing speed. Exploiting high-end interconnect technologies to ...
Weikuan Yu, Shuang Liang, Dhabaleswar K. Panda
PIMRC
2008
IEEE
14 years 3 months ago
Downlink overhead reduction for Multi-Cell Cooperative Processing enabled wireless networks
—Multi-cell Cooperative Processing (MCP) has been recognised as an efficient technique for increasing spectral efficiency of future cellular systems. However the provided bene...
Agisilaos Papadogiannis, Hans Jørgen Bang, ...
ICIP
2008
IEEE
14 years 3 months ago
Image representation by compressed sensing
This paper addresses the image representation problem in visual sensor networks. We propose a new image representation scheme based on compressive sensing (CS) because compressive...
Bing Han, Feng Wu, Dapeng Wu