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» Process variation dimension reduction based on SVD
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CVPR
2008
IEEE
14 years 10 months ago
Tensor reduction error analysis - Applications to video compression and classification
Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...
Chris H. Q. Ding, Heng Huang, Dijun Luo
ICML
2004
IEEE
14 years 8 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
ASPDAC
2009
ACM
102views Hardware» more  ASPDAC 2009»
14 years 2 months ago
Stochastic current prediction enabled frequency actuator for runtime resonance noise reduction
Power delivery network (PDN) is a distributed RLC network with its dominant resonance frequency in the low-to-middle frequency range. Though high-performance chips’ working freq...
Yiyu Shi, Jinjun Xiong, Howard Chen, Lei He
JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
Variational Relevance Vector Machine for Tabular Data
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
ICCD
2007
IEEE
322views Hardware» more  ICCD 2007»
14 years 4 months ago
Voltage drop reduction for on-chip power delivery considering leakage current variations
In this paper, we propose a novel on-chip voltage drop reduction technique for on-chip power delivery networks of VLSI systems in the presence of variational leakage current sourc...
Jeffrey Fan, Ning Mi, Sheldon X.-D. Tan