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» Approximation algorithms for co-clustering
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SIGIR
2009
ACM
16 years 1 months ago
Approximating true relevance distribution from a mixture model based on irrelevance data
Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
Peng Zhang, Yuexian Hou, Dawei Song
ISCAS
2008
IEEE
217views Hardware» more  ISCAS 2008»
16 years 1 months ago
Approximate L0 constrained non-negative matrix and tensor factorization
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
Morten Mørup, Kristoffer Hougaard Madsen, L...
CGI
1998
IEEE
15 years 11 months ago
Fast Approximate Quantitative Visibility for Complex Scenes
Ray tracing and Monte-Carlo based global illumination, as well as radiosity and other finite-element based global illumination methods, all require repeated evaluation of quantita...
Yiorgos Chrysanthou, Daniel Cohen-Or, Dani Lischin...
JEA
2008
97views more  JEA 2008»
15 years 6 months ago
Approximating the true evolutionary distance between two genomes
As more and more genomes are sequenced, evolutionary biologists are becoming increasingly interested in evolution at the level of whole genomes, in scenarios in which the genome e...
Krister M. Swenson, Mark Marron, Joel V. Earnest-D...
265
Voted
CVPR
2009
IEEE
1372views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Blind motion deblurring from a single image using sparse approximation
Restoring a clear image from a single motion-blurred image due to camera shake has long been a challenging problem in digital imaging. Existing blind deblurring techniques eithe...
Jian-Feng Cai (National University of Singapore), ...