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101
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CORR
2010
Springer
134views Education» more  CORR 2010»
14 years 11 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari
108
Voted
TIP
2011
170views more  TIP 2011»
14 years 7 months ago
Image Denoising in Mixed Poisson-Gaussian Noise
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
Florian Luisier, Thierry Blu, Michael Unser
JMLR
2012
13 years 3 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....
CORR
2010
Springer
172views Education» more  CORR 2010»
15 years 23 days ago
Alternating-Offer Bargaining Games over the Gaussian Interference Channel
This paper tackles the problem of how two selfish users jointly determine the operating point in the achievable rate region of a two-user Gaussian interference channel through barg...
Xi Liu, Elza Erkip
JMLR
2010
194views more  JMLR 2010»
14 years 7 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler