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SIAMJO
2011
15 years 21 hour ago
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
Min Tao, Xiaoming Yuan
CORR
2012
Springer
218views Education» more  CORR 2012»
14 years 24 days ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
121
Voted
LREC
2008
89views Education» more  LREC 2008»
15 years 6 months ago
Ontology Learning and Semantic Annotation: a Necessary Symbiosis
Semantic annotation of text requires the dynamic merging of linguistically structured information and a "world model", usually represented as a domain-specific ontology....
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...
BMCBI
2010
183views more  BMCBI 2010»
15 years 5 months ago
Active learning for human protein-protein interaction prediction
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Gan...
ICASSP
2007
IEEE
15 years 11 months ago
Protein Fold Recognition using Residue-Based Alignments of Sequence and Secondary Structure
Protein structure prediction aims to determine the three-dimensional structure of proteins form their amino acid sequences. When a protein does not have similarity (homology) to a...
Zafer Aydin, Hakan Erdogan, Yucel Altunbasak