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111
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ICML
2010
IEEE
15 years 1 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
CGF
2008
165views more  CGF 2008»
15 years 28 days ago
GPU-based Fast Ray Casting for a Large Number of Metaballs
Metaballs are implicit surfaces widely used to model curved objects, represented by the isosurface of a density field defined by a set of points. Recently, the results of particle...
Yoshihiro Kanamori, Zoltan Szego, Tomoyuki Nishita
98
Voted
CG
2006
Springer
15 years 26 days ago
Fast energy-based surface wrinkle modeling
This paper presents an energy-based approach that models the distinct wrinkle shapes to represent the different material properties of non-rigid objects at an interactive speed. O...
Yu Wang 0010, Charlie C. L. Wang, Matthew Ming-Fai...
128
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GRID
2006
Springer
15 years 25 days ago
YA: Fast and Scalable Discovery of Idle CPUs in a P2P network
Discovery of large amounts of idle CPUs in fully distributed and shared Grid systems is needed in relevant applications and is still a challenging problem. In this paper we present...
Javier Celaya, Unai Arronategui
124
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TSP
2010
14 years 7 months ago
Multichannel fast QR-decomposition algorithms: weight extraction method and its applications
Abstract--Multichannel fast QR decomposition RLS (MCFQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. The main limitation is...
Mobien Shoaib, Stefan Werner, José Antonio ...