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» Joint demosaicing and denoising
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CORR
2006
Springer
76views Education» more  CORR 2006»
13 years 9 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
ICASSP
2009
IEEE
14 years 4 months ago
L1 regularized super-resolution from unregistered omnidirectional images
In this paper, we address the problem of super-resolution from multiple low-resolution omnidirectional images with inexact registration. Such a problem is typically encountered in...
Zafer Arican, Pascal Frossard
ICIP
2010
IEEE
13 years 7 months ago
Image quantization under spatial smoothness constraints
Quantization, defined as the act of attributing a finite number of grey-levels to an image, is an essential task in image acquisition and coding. It is also intricately linked to ...
Anna Jezierska, Caroline Chaux, Hugues Talbot, Jea...
ICASSP
2011
IEEE
13 years 1 months ago
A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
Gautham J. Mysore, Paris Smaragdis
AAAI
2010
13 years 11 months ago
Recognizing Multi-Agent Activities from GPS Data
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
Adam Sadilek, Henry A. Kautz