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» Estimating Likelihoods for Topic Models
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139
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NIPS
2004
15 years 2 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
PREMI
2009
Springer
15 years 7 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
109
Voted
FSS
2010
100views more  FSS 2010»
14 years 10 months ago
Linearity testing for fuzzy rule-based models
In this paper, we introduce a linearity test for fuzzy rule-based models in the framework of time series modeling. To do so, we explore a family of statistical models, the regime ...
José Luis Aznarte, Marcelo C. Medeiros, Jos...
181
Voted
CVPR
2009
IEEE
2358views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and oft...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU...
89
Voted
CSDA
2006
98views more  CSDA 2006»
15 years 23 days ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen