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CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 4 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
BMCBI
2008
123views more  BMCBI 2008»
15 years 4 months ago
Shape based indexing for faster search of RNA family databases
Background: Most non-coding RNA families exert their function by means of a conserved, common secondary structure. The Rfam data base contains more than five hundred structurally ...
Stefan Janssen, Jens Reeder, Robert Giegerich
ICCV
2005
IEEE
16 years 6 months ago
An Ensemble Prior of Image Structure for Cross-Modal Inference
In cross-modal inference, we estimate complete fields from noisy and missing observations of one sensory modality using structure found in another sensory modality. This inference...
S. Ravela, Antonio B. Torralba, William T. Freeman
LREC
2010
238views Education» more  LREC 2010»
15 years 5 months ago
Context Fusion: The Role of Discourse Structure and Centering Theory
Questions are not asked in isolation. Their context, viz. the preceding interactions, might be of help to understand them and retrieve the correct answer. Previous research in Int...
Raffaella Bernardi, Manuel Kirschner, Zorana Ratko...
DKE
2006
139views more  DKE 2006»
15 years 4 months ago
Information extraction from structured documents using k-testable tree automaton inference
Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. Much of the previous work on IE from structured documents, suc...
Raymond Kosala, Hendrik Blockeel, Maurice Bruynoog...