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ASPDAC
2010
ACM
211views Hardware» more  ASPDAC 2010»
14 years 7 months ago
A fast analog mismatch analysis by an incremental and stochastic trajectory piecewise linear macromodel
To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-MonteCarlo method to calculate mismatch in time domain. Th...
Hao Yu, Xuexin Liu, Hai Wang, Sheldon X.-D. Tan
GLVLSI
2010
IEEE
190views VLSI» more  GLVLSI 2010»
14 years 11 months ago
A linear statistical analysis for full-chip leakage power with spatial correlation
In this paper, we present an approved linear-time algorithm for statistical leakage analysis in the present of any spatial correlation condition (strong or weak). The new algorith...
Ruijing Shen, Sheldon X.-D. Tan, Jinjun Xiong
JMLR
2006
389views more  JMLR 2006»
14 years 9 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
ESOP
2008
Springer
14 years 11 months ago
Inferring Channel Buffer Bounds Via Linear Programming
We present a static analysis for inferring the maximum amount of buffer space used by a program consisting of concurrently running processes communicating via buffered channels. We...
Tachio Terauchi, Adam Megacz
NAACL
1994
14 years 11 months ago
High-Accuracy Large-Vocabulary Speech Recognition Using Mixture Tying and Consistency Modeling
Improved acoustic modeling can significantly decrease the error rate in large-vocabulary speech recognition. Our approach to the problem is twofold. We first propose a scheme that...
Vassilios Digalakis, Hy Murveit