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CVPR
2007
IEEE
16 years 5 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
DPHOTO
2009
138views Hardware» more  DPHOTO 2009»
15 years 1 months ago
Statistical identification and analysis of defect development in digital imagers
The lifetime of solid-state image sensors is limited by the appearance of defects, particularly hot-pixels, which we have previously shown to develop continuously over the sensor ...
Jenny Leung, Glenn H. Chapman, Zahava Koren, Israe...
ICDAR
2005
IEEE
15 years 8 months ago
Document Understanding System Using Stochastic Context-Free Grammars
We present a document understanding system in which the arrangement of lines of text and block separators within a document are modeled by stochastic context free grammars. A gram...
John C. Handley, Anoop M. Namboodiri, Richard Zani...
ICASSP
2011
IEEE
14 years 7 months ago
Multi-rank processing for passive ranging in underwater acoustic environments subject to spatial coherence loss
In this work we derive the maximum likelihood estimator for passive wavefront curvature ranging systems operating in environments subject to a spatial coherence loss. As a consequ...
Hongya Ge, Ivars P. Kirsteins
NIPS
2004
15 years 4 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad