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BICOB
2009
Springer
16 years 1 months ago
A Bayesian Approach to High-Throughput Biological Model Generation
Abstract. With the availability of hundreds and soon-to-be thousands of complete genomes, the construction of genome-scale metabolic models for these organisms has attracted much a...
Xinghua Shi, Rick L. Stevens
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
16 years 1 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
194
Voted
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
16 years 1 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...
AINA
2007
IEEE
16 years 1 months ago
How to Study Wireless Mesh Networks: A hybrid Testbed Approach
— Simulation is the most famous way to study wireless an mobile networks since they offer a convenient combination of flexibility and controllability. However, their largest dis...
Alexander Zimmermann, Mesut Günes, Martin Wen...
BIBE
2006
IEEE
184views Bioinformatics» more  BIBE 2006»
16 years 24 days ago
A Language Modeling Text Mining Approach to the Annotation of Protein Community
This paper discusses an ontology based language modeling text mining approach to the annotation of protein community. Communities appear to play an important role in the functional...
Xiaodan Zhang, Daniel Duanqing Wu, Xiaohua Zhou, X...