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CVPR
2007
IEEE
15 years 4 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
MICRO
2003
IEEE
15 years 3 months ago
2003
IEEE
Application-specific extensions to the computational capabilities of a processor provide an efficient mechanism to meet the growing performance and power demands of embedded appl...
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BMCBI
2011
14 years 4 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
VRST
2003
ACM
15 years 2 months ago
2003
ACM
Virtual environments (VEs) allow users to experience and interact with a rich sensory environment, but most virtual worlds contain only sensory information similar to that which w...
SODA
2012
ACM
13 years 3 days ago
2012
ACM
Kernelization algorithms are polynomial-time reductions from a problem to itself that guarantee their output to have a size not exceeding some bound. For example, d-Set Matching f...