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DICTA
2003
15 years 4 months ago
Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
:Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
Ying Ming, Jingjue Jiang, Jun Ming
127
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BMCBI
2010
140views more  BMCBI 2010»
15 years 2 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
119
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AIED
2005
Springer
15 years 8 months ago
The Use of Qualitative Reasoning Models of Interactions between Populations to Support Causal Reasoning of Deaf Students
Making inferences is crucial for understanding the world. The school may develop such skills but there are few formal opportunities for that. This paper describes an experiment de...
Paulo Salles, Heloisa Lima-Salles, Bert Bredeweg
147
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JMLR
2012
13 years 5 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
136
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JMLR
2012
13 years 5 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....