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FMSD
2006
104views more  FMSD 2006»
13 years 8 months ago
Some ways to reduce the space dimension in polyhedra computations
Convex polyhedra are often used to approximate sets of states of programs involving numerical variables. The manipulation of convex polyhedra relies on the so-called double descri...
Nicolas Halbwachs, David Merchat, Laure Gonnord
ICDCS
2009
IEEE
13 years 6 months ago
Selective Protection: A Cost-Efficient Backup Scheme for Link State Routing
In recent years, there are substantial demands to reduce packet loss in the Internet. Among the schemes proposed, finding backup paths in advance is considered to be an effective ...
Meijia Hou, Dan Wang, Mingwei Xu, Jiahai Yang
CVPR
2011
IEEE
13 years 5 months ago
Variable Grouping for Energy Minimization
This paper addresses the problem of efficiently solving large-scale energy minimization problems encountered in computer vision. We propose an energy-aware method for merging ran...
Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Cha...
ISSS
1996
IEEE
134views Hardware» more  ISSS 1996»
14 years 26 days ago
ADOPT: Efficient Hardware Address Generation in Distributed Memory Architectures
An address generation and optimization environment (ADOPT) for distributed memory architectures, is presented. ADOPT is oriented to minimize the area overhead introduced by the us...
Miguel Miranda, Francky Catthoor, Martin Janssen, ...
AUSAI
2007
Springer
14 years 2 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan