998 search results - page 79 / 200 » Sparse Image Reconstruction using Sparse Priors |
169
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ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
138
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NIPS
2007
15 years 5 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
142
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SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
128
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ECCV
2006
Springer
16 years 6 months ago
2006
Springer
Abstract. The demosaicing process converts single-CCD color representations of one color channel per pixel into full per-pixel RGB. We introduce a Bayesian technique for demosaicin...
103
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ISBI
2006
IEEE
16 years 4 months ago
2006
IEEE
An imaging system which simultaneously performs near infrared (NIR) tomography and magnetic resonance imaging (MRI) has been developed at Dartmouth College, to study breast tissue...