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DAC
2008
ACM
16 years 6 months ago
A framework for block-based timing sensitivity analysis
Since process and environmental variations can no longer be ignored in high-performance microprocessor designs, it is necessary to develop techniques for computing the sensitiviti...
Sanjay V. Kumar, Chandramouli V. Kashyap, Sachin S...
DAC
2004
ACM
16 years 6 months ago
Statistical timing analysis in sequential circuit for on-chip global interconnect pipelining
With deep-sub-micron (DSM) technology, statistical timing analysis becomes increasingly crucial to characterize signal transmission over global interconnect wires. In this paper, ...
Lizheng Zhang, Yuhen Hu, Charlie Chung-Ping Chen
ICML
2006
IEEE
16 years 5 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
ISBI
2006
IEEE
16 years 5 months ago
Sample dependence correction for order selection in fMRI analysis
Multivariate analysis methods such as independent component analysis (ICA) have been applied to the analysis of functional magnetic resonance imaging (fMRI) data to study the brai...
Tülay Adali, Vince D. Calhoun, Yi-Ou Li
TACAS
2007
Springer
125views Algorithms» more  TACAS 2007»
15 years 11 months ago
Type-Dependence Analysis and Program Transformation for Symbolic Execution
Symbolic execution can be problematic when applied to real applications. This paper addresses two of these problems: (1) the constraints generated during symbolic execution may be ...
Saswat Anand, Alessandro Orso, Mary Jean Harrold