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ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Kernel-based tracking approaches have proven to be more efficient in computation compared to other tracking approaches such as particle filtering. However, existing kernel-based...
JMLR
2008
13 years 7 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
NOMS
2010
IEEE
13 years 6 months ago
2010
IEEE
—MapReduce is a data-driven programming model proposed by Google in 2004 which is especially well suited for distributed data analytics applications. We consider the management o...
SMA
2003
ACM
14 years 29 days ago
2003
ACM
Parametric feature-based CAD data exchange is one of the most important open problems in solid modeling. The problem is significant and challenging both scientifically and comme...
SIGMETRICS
2000
ACM
13 years 7 months ago
2000
ACM
Hot spots are a major obstacle to achieving scalability in the Internet. At the application layer, hot spots are usually caused by either (a) high demand for some data or (b) high...