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» McPOWER: a Monte Carlo approach to power estimation
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IJCNN
2006
IEEE
15 years 3 months ago
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
Yiwen Wang 0002, António R. C. Paiva, Jose ...
82
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ECCV
2002
Springer
15 years 11 months ago
A Markov Chain Monte Carlo Approach to Stereovision
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
Julien Sénégas
ECCV
2006
Springer
15 years 11 months ago
Non Linear Temporal Textures Synthesis: A Monte Carlo Approach
In this paper we consider the problem of temporal texture modeling and synthesis. A temporal texture (or dynamic texture) is seen as the output of a dynamical system driven by whit...
Andrea Masiero, Alessandro Chiuso
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
15 years 9 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
INFORMATICALT
2011
112views more  INFORMATICALT 2011»
14 years 4 months ago
The Minimum Density Power Divergence Approach in Building Robust Regression Models
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
Alessandra Durio, Ennio Davide Isaia