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SAC
2008
ACM
15 years 19 days ago
Particle methods for maximum likelihood estimation in latent variable models
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
Adam M. Johansen, Arnaud Doucet, Manuel Davy
ICIP
2003
IEEE
16 years 2 months ago
EM-based simultaneous registration, restoration, and interpolation of super-resolved images
We present a maximum likelihood (Ml) solution to the problem of obtaining high-resolution images from sequences of noisy, blurred, and low-resolution images. In our formulation, t...
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K....
SIGMETRICS
2009
ACM
140views Hardware» more  SIGMETRICS 2009»
15 years 7 months ago
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data
In the context of network traffic analysis, we address the problem of estimating the tail index of flow (or more generally of any group) size distribution from the observation of...
Patrick Loiseau, Paulo Gonçalves, Sté...
ECCV
2004
Springer
16 years 3 months ago
Learning Outdoor Color Classification from Just One Training Image
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training im...
Roberto Manduchi
CVPR
2007
IEEE
16 years 3 months ago
Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes
The ability to associate objects across multiple views allows co-operative use of an ensemble cameras for scene understanding. In this paper, we present a principled solution to o...
Yaser Sheikh, Xin Li, Mubarak Shah