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152
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BMCBI
2008
228views more  BMCBI 2008»
15 years 2 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
162
Voted
INFOCOM
2011
IEEE
14 years 6 months ago
Fully secure pairwise and triple key distribution in wireless sensor networks using combinatorial designs
—We address pairwise and (for the first time) triple key establishment problems in wireless sensor networks (WSN). We use combinatorial designs to establish pairwise keys betwee...
Sushmita Ruj, Amiya Nayak, Ivan Stojmenovic
115
Voted
CVPR
2008
IEEE
16 years 4 months ago
Large-scale manifold learning
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley
134
Voted
VIS
2005
IEEE
122views Visualization» more  VIS 2005»
16 years 3 months ago
Effectively Visualizing Large Networks Through Sampling
We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
Davood Rafiei, Stephen Curial
112
Voted
WISE
2009
Springer
15 years 11 months ago
Entry Pairing in Inverted File
Abstract. This paper proposes to exploit content and usage information to rearrange an inverted index for a full-text IR system. The idea is to merge the entries of two frequently ...
Hoang Thanh Lam, Raffaele Perego, Nguyen Thoi Minh...