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» Scalable, updatable predictive models for sequence data
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113
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 1 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
NAR
2008
127views more  NAR 2008»
15 years 13 days ago
miRBase: tools for microRNA genomics
miRBase is the central online repository for microRNA (miRNA) nomenclature, sequence data, annotation and target prediction. The current release (10.0) contains 5071 miRNA loci fr...
Sam Griffiths-Jones, Harpreet Kaur Saini, Stijn va...
CVPR
2012
IEEE
13 years 2 months ago
Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences
In this paper we address multi-view reconstruction of urban environments using 3D shape grammars. Our formulation expresses the solution to the problem as a shape grammar parse tr...
Loïc Simon, Olivier Teboul, Panagiotis Koutso...
108
Voted
BMCBI
2005
246views more  BMCBI 2005»
15 years 11 days ago
ParPEST: a pipeline for EST data analysis based on parallel computing
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
77
Voted
ICC
2007
IEEE
15 years 6 months ago
Widely Linear Prediction for Blind Equalization
— This paper proposes a new blind equalization scheme based on widely linear (WL) prediction. It permits to compensate non-minimum phase channels with or without spectral nulls, ...
Francisco J. A. de Aquino, Carlos A. F. da Rocha, ...