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IAJIT
2010
117views more  IAJIT 2010»
15 years 5 months ago
Development of Neural Networks for Noise Reduction
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
Lubna Badri
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
16 years 6 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
EMSOFT
2005
Springer
16 years 20 hour ago
A sink-n-hoist framework for leakage power reduction
Power leakage constitutes an increasing fraction of the total power consumption in modern semiconductor technologies. Recent research efforts have tried to integrate architecture...
Yi-Ping You, Chung-Wen Huang, Jenq Kuen Lee
ISCAS
2003
IEEE
131views Hardware» more  ISCAS 2003»
15 years 11 months ago
Process variation dimension reduction based on SVD
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...
Zhuo Li, Xiang Lu, Weiping Shi
ADBIS
2006
Springer
103views Database» more  ADBIS 2006»
16 years 14 days ago
RA: An XML Schema Reduction Algorithm
XML file comparison and clustering are two challenging tasks still accomplished predominantly manually. XML schema contains information about data structure, types, and labels fou...
Angela Cristina Duta, Ken Barker, Reda Alhajj