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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 9 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
ICDAR
2009
IEEE
15 years 4 days ago
Learning Bayesian Networks by Evolution for Classifier Combination
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
Claudio De Stefano, Francesco Fontanella, Alessand...
136
Voted
CVPR
2004
IEEE
16 years 4 months ago
Tracking Loose-Limbed People
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michae...
IWSSD
2000
IEEE
15 years 6 months ago
Specification, Safety and Reliability Analysis Using Stochastic Petri Net Models
In this study we focus on the specification and assessment of Stochastic Petri net (SPN) models to evaluate the design of an embedded system for reliability and availability. The ...
Frederick T. Sheldon, Stefan Greiner, Matthias Ben...
116
Voted
CORR
2011
Springer
168views Education» more  CORR 2011»
14 years 6 months ago
Robustness and modular structure in networks
Many complex systems, from power grids and the internet, to the brain and society, can be modeled using modular networks. Modules, densely interconnected groups of elements, often...
James P. Bagrow, Sune Lehmann, Yong-Yeol Ahn