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PR
2011
12 years 10 months ago
A survey of multilinear subspace learning for tensor data
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
APVIS
2011
12 years 7 months ago
Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics
Molecular dynamics is a widely used simulation technique to investigate material properties and structural changes under external forces. The availability of more powerful cluster...
Steffen Frey, Thomas Schlömer, Sebastian Grot...
IACR
2011
136views more  IACR 2011»
12 years 7 months ago
Trapdoors for Lattices: Simpler, Tighter, Faster, Smaller
We give new methods for generating and using “strong trapdoors” in cryptographic lattices, which are simultaneously simple, efficient, easy to implement (even in parallel), a...
Daniele Micciancio, Chris Peikert
ICS
1997
Tsinghua U.
13 years 12 months ago
Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology
Modern microprocessors can achieve high performance on linear algebra kernels but this currently requires extensive machine-speci c hand tuning. We have developed a methodology wh...
Jeff Bilmes, Krste Asanovic, Chee-Whye Chin, James...
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...