998 search results - page 138 / 200 » Sparse Image Reconstruction using Sparse Priors |
127
Voted
ACL
2006
15 years 5 months ago
2006
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...
140
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ACL
2010
15 years 1 months ago
2010
Existing word similarity measures are not robust to data sparseness since they rely only on the point estimation of words' context profiles obtained from a limited amount of ...
135
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ECCV
2010
Springer
15 years 9 months ago
2010
Springer
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
156
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CIKM
2010
Springer
15 years 2 months ago
2010
Springer
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
175
Voted
ICANN
2010
Springer
15 years 5 months ago
2010
Springer
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...