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» Automatic Parameter Learning for Multiple Network Alignment
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CEC
2009
IEEE
15 years 6 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
NAR
2008
125views more  NAR 2008»
14 years 11 months ago
Phylogeny.fr: robust phylogenetic analysis for the non-specialist
Phylogenetic analyses are central to many research areas in biology and typically involve the identification of homologous sequences, their multiple alignment, the phylogenetic re...
Alexis Dereeper, V. Guignon, G. Blanc, Stép...
FIMH
2009
Springer
14 years 9 months ago
Discriminative Joint Context for Automatic Landmark Set Detection from a Single Cardiac MR Long Axis Slice
Cardiac magnetic resonance (MR) imaging has advanced to become a powerful diagnostic tool in clinical practice. Automatic detection of anatomic landmarks from MR images is importan...
Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edg...
PRL
2011
14 years 6 months ago
Temporal synchronization of non-overlapping videos using known object motion
This paper presents a robust technique for temporally aligning multiple video sequences that have no spatial overlap between their fields of view. It is assumed that (i) a moving...
Darlan N. Brito, Flávio L. C. Pádua,...
CVPR
2007
IEEE
15 years 6 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen