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» A Least-Squares Framework for Component Analysis
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CVPR
2003
IEEE
14 years 9 months ago
Statistics of Shape via Principal Geodesic Analysis on Lie Groups
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
P. Thomas Fletcher, Conglin Lu, Sarang C. Joshi
ECAI
2004
Springer
14 years 1 months ago
Diagnosability Analysis of Distributed Discrete Event Systems
This paper addresses the diagnosability problem of distributed discrete event systems. Until now, the problem of diagnosability has always been solved by considering centralised ap...
Yannick Pencolé
COMPSAC
1999
IEEE
13 years 12 months ago
A Generic Approach of Static Analysis for Detecting Runtime Errors in Java Programs
This paper presents a generic approach to statically analyze Java programs in order to detect potential errors (bugs). We discuss a framework that supports our approach and carrie...
Xiaoping Jia, Sotiris Skevoulis
TMI
2008
138views more  TMI 2008»
13 years 7 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
ICCAD
2009
IEEE
152views Hardware» more  ICCAD 2009»
13 years 5 months ago
Adaptive sampling for efficient failure probability analysis of SRAM cells
In this paper, an adaptive sampling method is proposed for the statistical SRAM cell analysis. The method is composed of two components. One part is the adaptive sampler that manip...
Javid Jaffari, Mohab Anis