137 search results - page 1 / 28 » Process variation dimension reduction based on SVD |
ISCAS
2003
IEEE
13 years 10 months ago
2003
IEEE
We propose an algorithm based on singular value decomposition (SVD) to reduce the number of process variation variables. With few process variation variables, fault simulation and...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
DAC
2007
ACM
14 years 5 months ago
2007
ACM
The ability to account for the growing impacts of multiple process variations in modern technologies is becoming an integral part of nanometer VLSI design. Under the context of ti...
CISIM
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper, we compare performance of several dimension reduction techniques, namely SVD, NMF and SDD.The qualitative comparison is evaluated on a collection of bars. We compare...
IPCV
2008
13 years 6 months ago
2008
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...