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» Statistical timing analysis using Kernel smoothing
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SAS
2005
Springer
135views Formal Methods» more  SAS 2005»
15 years 3 months ago
Taming False Alarms from a Domain-Unaware C Analyzer by a Bayesian Statistical Post Analysis
Abstract. We present our experience of combining, in a realistic setting, a static analyzer with a statistical analysis. This combination is in order to reduce the inevitable false...
Yungbum Jung, Jaehwang Kim, Jaeho Shin, Kwangkeun ...
ICA
2007
Springer
15 years 1 months ago
Compact Representations of Market Securities Using Smooth Component Extraction
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
Hariton Korizis, Nikolaos Mitianoudis, Anthony G. ...
NCA
2002
IEEE
14 years 9 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
CVPR
2009
IEEE
16 years 4 months ago
Volterrafaces: Discriminant Analysis using Volterra Kernels
In this paper we present a novel face classification system where we represent face images as a spatial arrangement of image patches, and seek a smooth non-linear functional map...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri
ICCAD
2006
IEEE
113views Hardware» more  ICCAD 2006»
15 years 6 months ago
A new statistical max operation for propagating skewness in statistical timing analysis
Statistical static timing analysis (SSTA) is emerging as a solution for predicting the timing characteristics of digital circuits under process variability. For computing the stat...
Kaviraj Chopra, Bo Zhai, David Blaauw, Dennis Sylv...