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NIPS
2007
15 years 1 months ago
Parallelizing Support Vector Machines on Distributed Computers
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai...
ASPDAC
2010
ACM
163views Hardware» more  ASPDAC 2010»
14 years 9 months ago
A3MAP: architecture-aware analytic mapping for networks-on-chip
- In this paper, we propose a novel and global A3MAP (Architecture-Aware Analytic Mapping) algorithm applied to NoC (Networks-on-Chip) based MPSoC (Multi-Processor System-on-Chip) ...
Wooyoung Jang, David Z. Pan
BMCBI
2006
129views more  BMCBI 2006»
14 years 11 months ago
Fast index based algorithms and software for matching position specific scoring matrices
Background: In biological sequence analysis, position specific scoring matrices (PSSMs) are widely used to represent sequence motifs in nucleotide as well as amino acid sequences....
Michael Beckstette, Robert Homann, Robert Giegeric...
ICCV
2005
IEEE
16 years 1 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler
DATE
2007
IEEE
92views Hardware» more  DATE 2007»
15 years 6 months ago
Random sampling of moment graph: a stochastic Krylov-reduction algorithm
In this paper we introduce a new algorithm for model order reduction in the presence of parameter or process variation. Our analysis is performed using a graph interpretation of t...
Zhenhai Zhu, Joel R. Phillips