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JMLR
2010
121views more  JMLR 2010»
14 years 10 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
ICRA
2008
IEEE
144views Robotics» more  ICRA 2008»
15 years 10 months ago
Decentralized mapping of robot-aided sensor networks
— A key problem in deploying sensor networks in real-world applications is that of mapping, i.e. determining the location of each sensor such that subsequent tasks such as tracki...
Joseph Djugash, Sanjiv Singh, Ben Grocholsky
ASPDAC
2005
ACM
117views Hardware» more  ASPDAC 2005»
15 years 9 months ago
Dynamic symmetry-breaking for improved Boolean optimization
With impressive progress in Boolean Satisfiability (SAT) solving and several extensions to pseudo-Boolean (PB) constraints, many applications that use SAT, such as highperformanc...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
170
Voted
JSAC
2006
146views more  JSAC 2006»
15 years 3 months ago
Joint Channel Assignment and Routing for Throughput Optimization in Multiradio Wireless Mesh Networks
Multihop infrastructure wireless mesh networks offer increased reliability, coverage, and reduced equipment costs over their single-hop counterpart, wireless local area networks. E...
Mansoor Alicherry, Randeep Bhatia, Erran L. Li
156
Voted
BMCBI
2006
139views more  BMCBI 2006»
15 years 3 months ago
Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
Background: Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy...
Shinsuke Yamada, Osamu Gotoh, Hayato Yamana