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DCC
2009
IEEE
14 years 8 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
ICIAP
2007
ACM
14 years 7 months ago
Efficient and optimal block matching for motion estimation
This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation....
Stefano Mattoccia, Federico Tombari, Luigi di Stef...
ICDCS
2005
IEEE
14 years 1 months ago
Optimal Asynchronous Garbage Collection for RDT Checkpointing Protocols
Communication-induced checkpointing protocols that ensure rollback-dependency trackability (RDT) guarantee important properties to the recovery system without explicit coordinatio...
Rodrigo Schmidt, Islene C. Garcia, Fernando Pedone...
COR
2008
88views more  COR 2008»
13 years 7 months ago
Solving the swath segment selection problem through Lagrangean relaxation
The Swath Segment Selection Problem (SSSP) is an NP-hard combinatorial optimization problem arising in the context of planning and scheduling satellite operations. It was defined ...
Roberto Cordone, Federico Gandellini, Giovanni Rig...
CGI
1998
IEEE
13 years 12 months ago
Fast Approximate Quantitative Visibility for Complex Scenes
Ray tracing and Monte-Carlo based global illumination, as well as radiosity and other finite-element based global illumination methods, all require repeated evaluation of quantita...
Yiorgos Chrysanthou, Daniel Cohen-Or, Dani Lischin...