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ICASSP
2011
IEEE
14 years 6 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
BMCBI
2006
116views more  BMCBI 2006»
15 years 2 months ago
A model-based approach to selection of tag SNPs
Background: Single Nucleotide Polymorphisms (SNPs) are the most common type of polymorphisms found in the human genome. Effective genetic association studies require the identific...
Pierre Nicolas, Fengzhu Sun, Lei M. Li
129
Voted
ICIP
2001
IEEE
16 years 4 months ago
Coding for the storage and communication of visualisations of 3D medical data
The transmission of the large store of information contained in 3D medical data sets through limited capacity channels, is a critical procedure in many telemedicine applications. ...
Dimitrios Tzovaras, Michael G. Strintzis, Nikolaos...
122
Voted
KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 2 months ago
Tensor-CUR decompositions for tensor-based data
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
Michael W. Mahoney, Mauro Maggioni, Petros Drineas
100
Voted
KDD
2009
ACM
189views Data Mining» more  KDD 2009»
15 years 9 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...