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TSP
2008
167views more  TSP 2008»
15 years 5 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
JSS
2010
120views more  JSS 2010»
15 years 5 months ago
An evaluation of timed scenario notations
There is a general consensus on the importance of good Requirements Engineering (RE) for achieving high quality software. The modeling and analysis of requirements have been the m...
Jameleddine Hassine, Juergen Rilling, Rachida Dsso...
SPIN
2010
Springer
15 years 5 months ago
Enacting Declarative Languages Using LTL: Avoiding Errors and Improving Performance
In our earlier work we have proposed using the declarative language DecSerFlow for modeling, analysis and enactment of processes in autonomous web services. DecSerFlow uses constra...
Maja Pesic, Dragan Bosnacki, Wil M. P. van der Aal...
CAIP
2009
Springer
202views Image Analysis» more  CAIP 2009»
15 years 4 months ago
Near-Regular Texture Synthesis
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...
Michal Haindl, Martin Hatka
CVPR
2009
IEEE
17 years 1 months ago
HOP: Hierarchical Object Parsing
In this paper we consider the problem of object parsing, namely detecting an object and its components by composing them from image observations. Apart from object localization, ...
Iasonas Kokkinos, Alan L. Yuille
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