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» Computing with abstract matrix structures
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ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 1 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
BMCBI
2011
14 years 10 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 10 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
TMI
2010
143views more  TMI 2010»
14 years 10 months ago
Data Specific Spatially Varying Regularization for Multimodal Fluorescence Molecular Tomography
Fluorescence molecular tomography (FMT) allows in vivo localization and quantification of fluorescence biodistributions in whole animals. The ill-posed nature of the tomographic re...
Damon Hyde, Eric L. Miller, Dana H. Brooks, Vasili...
159
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NAR
2011
203views Computer Vision» more  NAR 2011»
14 years 6 months ago
Laminin database: a tool to retrieve high-throughput and curated data for studies on laminins
The Laminin(LM)-database, hosted at http://www .lm.lncc.br, is the first database focusing a noncollagenous extracellular matrix protein family, the LMs. Part of the knowledge ava...
Daiane C. F. Golbert, Leandra Linhares-Lacerda, Lu...