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CVPR
2004
IEEE
14 years 9 months ago
Propagation Networks for Recognition of Partially Ordered Sequential Action
We present Propagation Networks (P-Nets), a novel approach for representing and recognizing sequential activities that include parallel streams of action. We represent each activi...
Yifan Shi, Yan Huang, David Minnen, Aaron F. Bobic...
TIM
2010
144views Education» more  TIM 2010»
13 years 2 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
TCAD
2008
115views more  TCAD 2008»
13 years 7 months ago
Statistical Thermal Profile Considering Process Variations: Analysis and Applications
The nonuniform substrate thermal profile and process variations are two major concerns in the present-day ultradeep submicrometer designs. To correctly predict performance/ leakage...
Javid Jaffari, Mohab Anis
CVPR
2007
IEEE
14 years 9 months ago
High-dimensional statistical distance for region-of-interest tracking: Application to combining a soft geometric constraint with
This paper deals with region-of-interest (ROI) tracking in video sequences. The goal is to determine in successive frames the region which best matches, in terms of a similarity m...
Sylvain Boltz, Eric Debreuve, Michel Barlaud
CORR
2010
Springer
97views Education» more  CORR 2010»
13 years 4 months ago
On the Scaling Law for Compressive Sensing and its Applications
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...
Weiyu Xu, Ao Tang