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ICASSP
2011
IEEE
12 years 9 months ago
Low-rank matrix completion by variational sparse Bayesian learning
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
S. Derin Babacan, Martin Luessi, Rafael Molina, Ag...
BMCBI
2005
136views more  BMCBI 2005»
13 years 6 months ago
Identification of clustered microRNAs using an ab initio prediction method
Background: MicroRNAs (miRNAs) are endogenous 21 to 23-nucleotide RNA molecules that regulate protein-coding gene expression in plants and animals via the RNA interference pathway...
Alain Sewer, Nicodème Paul, Pablo Landgraf,...
SSPR
2004
Springer
13 years 11 months ago
Structures of Covariance Matrix in Handwritten Character Recognition
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
Sarunas Raudys, Masakazu Iwamura
CVPR
2008
IEEE
14 years 8 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
BMCBI
2010
109views more  BMCBI 2010»
13 years 6 months ago
Free energy estimation of short DNA duplex hybridizations
Background: Estimation of DNA duplex hybridization free energy is widely used for predicting cross-hybridizations in DNA computing and microarray experiments. A number of software...
Dan C. Tulpan, Mirela Andronescu, Serge Leger