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ICCV
2009
IEEE
15 years 1 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
EDBT
2009
ACM
118views Database» more  EDBT 2009»
15 years 10 months ago
Flexible query answering on graph-modeled data
The largeness and the heterogeneity of most graph-modeled datasets in several database application areas make the query process a real challenge because of the lack of a complete ...
Federica Mandreoli, Riccardo Martoglia, Giorgio Vi...
WEBDB
2007
Springer
79views Database» more  WEBDB 2007»
15 years 9 months ago
Navigating Extracted Data with Schema Discovery
Open Information Extraction (OIE) is a recently-introduced type of information extraction that extracts small individual pieces of data from input text without any domainspecific...
Michael J. Cafarella, Dan Suciu, Oren Etzioni
SAS
1999
Springer
15 years 7 months ago
Eliminating Dead Code on Recursive Data
This paper describes a powerful method for dead code analysis and elimination in the presence of recursive data constructions. We describe partially dead recursive data using live...
Yanhong A. Liu, Scott D. Stoller
SODA
2012
ACM
191views Algorithms» more  SODA 2012»
13 years 5 months ago
Submatrix maximum queries in Monge matrices and Monge partial matrices, and their applications
We describe a data structure for submatrix maximum queries in Monge matrices or Monge partial matrices, where a query specifies a contiguous submatrix of the given matrix, and it...
Haim Kaplan, Shay Mozes, Yahav Nussbaum, Micha Sha...