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IPPS
2007
IEEE
14 years 2 months ago
Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures
1 Multi-paradigm, multi-threaded and multi-core computing devices available today provide several orders of magnitude performance improvement over mainstream microprocessors. These...
Jeremy S. Meredith, Sadaf R. Alam, Jeffrey S. Vett...
ICASSP
2009
IEEE
14 years 3 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
DAGM
2006
Springer
14 years 5 days ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
CN
2002
112views more  CN 2002»
13 years 8 months ago
State-dependent M/G/1 type queueing analysis for congestion control in data networks
Abstract--We study in this paper a TCP-like linear-increase multiplicative-decrease flow control mechanism. We consider congestion signals that arrive in batches according to a Poi...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...
ICIP
2008
IEEE
14 years 10 months ago
Statistical learning based intra prediction in H.264
In this paper, we improve the performance of intra prediction and simplify mode decision procedure at the same time. For these works, we apply a statistical learning method such a...
Cheolhong An, Truong Q. Nguyen