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» Unsupervised estimation for noisy-channel models
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NAACL
2010
13 years 2 months ago
Using Gaussian Mixture Models to Detect Figurative Language in Context
We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an ...
Linlin Li, Caroline Sporleder
PREMI
2009
Springer
13 years 11 months ago
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
Sucheta Panda, P. K. Nanda
CVPR
2005
IEEE
14 years 6 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
ICIP
2004
IEEE
14 years 6 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
CVPR
2012
IEEE
11 years 7 months ago
Unsupervised co-segmentation through region matching
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiplescale mu...
José C. Rubio, Joan Serrat, Antonio M. L&oa...