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TSP
2010
14 years 6 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
98
Voted
ECCV
2004
Springer
16 years 1 months ago
Separating Transparent Layers through Layer Information Exchange
In this paper we present an approach for separating two transparent layers in images and video sequences. Given two initial unknown physical mixtures, I1 and I2, of real scene laye...
Bernard Sarel, Michal Irani
82
Voted
WWW
2007
ACM
16 years 13 days ago
A high-performance interpretive approach to schema-directed parsing
XML delivers key advantages in interoperability due to its flexibility, expressiveness, and platform-neutrality. As XML has become a performance-critical aspect of the next genera...
Morris Matsa, Eric Perkins, Abraham Heifets, Marga...
190
Voted
POPL
2009
ACM
16 years 12 days ago
Modular code generation from synchronous block diagrams: modularity vs. code size
We study modular, automatic code generation from hierarchical block diagrams with synchronous semantics. Such diagrams are the fundamental model behind widespread tools in the emb...
Roberto Lublinerman, Christian Szegedy, Stavros Tr...
ICIAP
2007
ACM
15 years 12 months ago
Natural scenes categorization by hierarchical extraction of typicality patterns
Natural scene categorization of images represents a very useful task for automatic image analysis systems in a wide variety of applications. In the literature, several methods hav...
Alessandro Perina, Marco Cristani, Vittorio Murino