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» Statistical Performance Modeling and Optimization
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163
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TIP
2008
163views more  TIP 2008»
15 years 3 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli
130
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations
—We present new results from Computational Neurogenetic Modeling to aid discoveries of complex gene interactions underlying oscillations in neural systems. Interactions of genes ...
Lubica Benuskova, Simei Gomes Wysoski, Nikola K. K...
133
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
133
Voted
SIGIR
1999
ACM
15 years 8 months ago
Probabilistic Latent Semantic Indexing
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
Thomas Hofmann
123
Voted
AUTOMATICA
2005
82views more  AUTOMATICA 2005»
15 years 3 months ago
From experiment design to closed-loop control
The links between identification and control are examined. The main trends in this research area are summarized, with particular focus on the design of low complexity controllers ...
Håkan Hjalmarsson