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ECCV
2002
Springer
14 years 7 months ago
A Layered Motion Representation with Occlusion and Compact Spatial Support
We describe a 2.5D layered representation for visual motion analysis. The representation provides a global interpretation of image motion in terms of several spatially localized fo...
Allan D. Jepson, David J. Fleet, Michael J. Black
CCE
2004
13 years 5 months ago
On the use of reduced order models in bifurcation analysis of distributed parameter systems
Bifurcation theory provides a powerful tool for analyzing the nonlinear dynamic behavior of process systems. However, although the theory in principle applies to lumped as well as...
Yi Liu, Elling W. Jacobsen
ICCD
2006
IEEE
157views Hardware» more  ICCD 2006»
14 years 2 months ago
Statistical Analysis of Power Grid Networks Considering Lognormal Leakage Current Variations with Spatial Correlation
— As the technology scales into 90nm and below, process-induced variations become more pronounced. In this paper, we propose an efficient stochastic method for analyzing the vol...
Ning Mi, Jeffrey Fan, Sheldon X.-D. Tan
GLVLSI
2010
IEEE
190views VLSI» more  GLVLSI 2010»
13 years 7 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
BMCBI
2004
208views more  BMCBI 2004»
13 years 5 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein