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» Semi-supervised Discriminant Analysis
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JMLR
2012
11 years 11 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
ICIP
2008
IEEE
14 years 10 months ago
Automatic liver tumor diagnosis with Dynamic-Contrast Enhanced MRI
Dynamic-Contrast Enhanced MRI (DCE-MRI) is currently used as a complementary diagnosis tool to assess the malignancy of the liver tumor, called hepatoma, hepatocarcinoma, hepatoce...
Liliana Caldeira, Isabela Silva, João Sanch...
IMSCCS
2006
IEEE
14 years 2 months ago
Quality Assessment of Peptide Tandem Mass Spectra
Background: Tandem mass spectrometry has emerged as a cornerstone of high throughput proteomic studies owing in part to various high throughput search engines which are used to in...
Fang-Xiang Wu, Pierre Gagné, Arnaud Droit, ...
BMCBI
2010
142views more  BMCBI 2010»
13 years 8 months ago
Classification of protein sequences by means of irredundant patterns
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
Matteo Comin, Davide Verzotto
BMCBI
2010
105views more  BMCBI 2010»
13 years 8 months ago
Predicting phenotypic traits of prokaryotes from protein domain frequencies
Background: Establishing the relationship between an organism's genome sequence and its phenotype is a fundamental challenge that remains largely unsolved. Accurately predict...
Thomas Lingner, Stefanie Mühlhausen, Toni Gab...