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101
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TNN
1998
123views more  TNN 1998»
15 years 13 days ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
112
Voted
TSMC
1998
91views more  TSMC 1998»
15 years 13 days ago
Toward the border between neural and Markovian paradigms
— A new tendency in the design of modern signal processing methods is the creation of hybrid algorithms. This paper gives an overview of different signal processing algorithms si...
Piotr Wilinski, Basel Solaiman, A. Hillion, W. Cza...
131
Voted
TSP
2008
167views more  TSP 2008»
14 years 11 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...
134
Voted
CAIP
2009
Springer
202views Image Analysis» more  CAIP 2009»
14 years 10 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
BMCBI
2011
14 years 7 months ago
Detection of viral sequence fragments of HIV-1 subfamilies yet unknown
Background: Methods of determining whether or not any particular HIV-1 sequence stems - completely or in part - from some unknown HIV-1 subtype are important for the design of vac...
Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bull...