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ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
15 years 21 days ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
EMSOFT
2009
Springer
14 years 2 months ago
Analytic real-time analysis and timed automata: a hybrid method for analyzing embedded real-time systems
This paper advocates a strict compositional and hybrid approach for obtaining key (performance) metrics of embedded At its core the developed methodology abstracts system componen...
Kai Lampka, Simon Perathoner, Lothar Thiele
JWSR
2008
98views more  JWSR 2008»
13 years 7 months ago
Mining and Improving Composite Web Services Recovery Mechanisms
: Ensuring composite services reliability is a challenging problem. Indeed, due to the inherent autonomy and heterogeneity of Web services it is difficult to predict and reason abo...
Sami Bhiri, Walid Gaaloul, Claude Godart
IJIIDS
2008
201views more  IJIIDS 2008»
13 years 7 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
LLL
1999
Springer
13 years 12 months ago
Learning to Lemmatise Slovene Words
Abstract. Automatic lemmatisation is a core application for many language processing tasks. In inflectionally rich languages, such as Slovene, assigning the correct lemma to each ...
Saso Dzeroski, Tomaz Erjavec