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ICASSP
2011
IEEE
14 years 3 months ago
Multiantenna detection under noise uncertainty and primary user's spatial structure
Spectrum sensing is a challenging key component of the Cognitive Radio paradigm, since primary signals must be detected in the face of noise uncertainty and at signal-to-noise rat...
David Ramírez, Gonzalo Vazquez-Vilar, Rober...
BMCBI
2004
208views more  BMCBI 2004»
14 years 11 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
111
Voted
ICPR
2004
IEEE
16 years 28 days ago
Joint Spatial and Temporal Structure Learning for Task based Control
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
Hilary Buxton, Kingsley Sage
ICRA
2007
IEEE
151views Robotics» more  ICRA 2007»
15 years 6 months ago
A Spatially Structured Genetic Algorithm over Complex Networks for Mobile Robot Localisation
— One of the most important problems in Mobile Robotics is to realise the complete robot’s autonomy. In order to achieve this goal several tasks have to be accomplished. Among ...
Andrea Gasparri, Stefano Panzieri, Federica Pascuc...
BMCBI
2008
104views more  BMCBI 2008»
14 years 12 months ago
Analyzing the simplicial decomposition of spatial protein structures
Background: The fast growing Protein Data Bank contains the three-dimensional description of more than 45000 protein- and nucleic-acid structures today. The large majority of the ...
Rafael Ördög, Zoltan Szabadka, Vince Gro...