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ICASSP
2011
IEEE
14 years 6 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
115
Voted
BNCOD
2006
88views Database» more  BNCOD 2006»
15 years 3 months ago
The Lixto Project: Exploring New Frontiers of Web Data Extraction
The Lixto project is an ongoing research effort in the area of Web data extraction. Whereas the project originally started out with the idea to develop a logic-based extraction lan...
Julien Carme, Michal Ceresna, Oliver Frölich,...
120
Voted
CCS
2009
ACM
15 years 9 months ago
Learning your identity and disease from research papers: information leaks in genome wide association study
Genome-wide association studies (GWAS) aim at discovering the association between genetic variations, particularly single-nucleotide polymorphism (SNP), and common diseases, which...
Rui Wang, Yong Fuga Li, XiaoFeng Wang, Haixu Tang,...
128
Voted
RSEISP
2007
Springer
15 years 8 months ago
Generalizing Data in Natural Language
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
Ryszard S. Michalski, Janusz Wojtusiak
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
15 years 8 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez