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» Inference in Bayesian Networks
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CVPR
2006
IEEE
16 years 8 months ago
Noise Estimation from a Single Image
In order to work well, many computer vision algorithms require that their parameters be adjusted according to the image noise level, making it an important quantity to estimate. W...
Ce Liu, William T. Freeman, Richard Szeliski, Sing...
CSFW
2007
IEEE
16 years 18 days ago
Probability of Error in Information-Hiding Protocols
Randomized protocols for hiding private information can often be regarded as noisy channels in the informationtheoretic sense, and the inference of the concealed information can b...
Konstantinos Chatzikokolakis, Catuscia Palamidessi...
ICCV
2007
IEEE
16 years 18 days ago
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
Yong-Dian Jian, Chu-Song Chen
COGSCI
2010
134views more  COGSCI 2010»
15 years 6 months ago
A Model of Knower-Level Behavior in Number Concept Development
We develop and evaluate a model of behavior on the Give-N task, a commonly used measure of young children's number knowledge. Our model uses the knower-level theory of how ch...
Michael D. Lee, Barbara W. Sarnecka
IJCV
2008
281views more  IJCV 2008»
15 years 6 months ago
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
Abstract This paper presents a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other state of the art meth...
Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Phi...