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PR
2010
129views more  PR 2010»
15 years 2 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
CVPR
2010
IEEE
15 years 7 months ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
IPPS
2006
IEEE
15 years 10 months ago
Algorithm-based checkpoint-free fault tolerance for parallel matrix computations on volatile resources
As the desire of scientists to perform ever larger computations drives the size of today’s high performance computers from hundreds, to thousands, and even tens of thousands of ...
Zizhong Chen, Jack Dongarra
ICIP
2002
IEEE
16 years 6 months ago
3D structure from video streams with partially overlapping images
The majority of methods available to recover 3D structure from video assume that a set of feature points are tracked across a large number of frames. This is not always possible i...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
IJRR
2008
98views more  IJRR 2008»
15 years 4 months ago
Automatic Configuration Recognition Methods in Modular Robots
Recognizing useful modular robot configurations composed of hundreds of modules is a significant challenge. Matching a new modular robot configuration to a library of known configu...
Michael Park, Sachin Chitta, Alex Teichman, Mark Y...