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» Process variation dimension reduction based on SVD
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PR
2008
97views more  PR 2008»
13 years 5 months ago
SVD based initialization: A head start for nonnegative matrix factorization
We describe Nonnegative Double Singular Value Decomposition (NNDSVD), a new method designed to enhance the initialization stage of nonnegative matrix factorization (NMF). NNDSVD c...
Christos Boutsidis, Efstratios Gallopoulos
VLSID
2008
IEEE
111views VLSI» more  VLSID 2008»
14 years 5 months ago
Power Reduction of Functional Units Considering Temperature and Process Variations
Continuous technology scaling has resulted in an increase in both, the power density as well as the variation in device dimensions (process variations) of the manufactured process...
Deepa Kannan, Aviral Shrivastava, Sarvesh Bhardwaj...
ICCAD
2007
IEEE
132views Hardware» more  ICCAD 2007»
14 years 2 months ago
Principle Hessian direction based parameter reduction with process variation
— As CMOS technology enters the nanometer regime, the increasing process variation is bringing manifest impact on circuit performance. In this paper, we propose a Principle Hessi...
Alexander V. Mitev, Michael Marefat, Dongsheng Ma,...
NAACL
2007
13 years 6 months ago
Clustered Sub-Matrix Singular Value Decomposition
This paper presents an alternative algorithm based on the singular value decomposition (SVD) that creates vector representation for linguistic units with reduced dimensionality. T...
Fang Huang, Yorick Wilks
BMCBI
2008
145views more  BMCBI 2008»
13 years 5 months ago
Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysis
Background: The combination of gene expression profiling with linkage analysis has become a powerful paradigm for mapping gene expression quantitative trait loci (eQTL). To date, ...
Shameek Biswas, John D. Storey, Joshua M. Akey