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149
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CSDA
2007
134views more  CSDA 2007»
15 years 3 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
120
Voted
ICIP
2006
IEEE
16 years 5 months ago
3D Scene Modeling for Distributed Video Coding
1 The compression efficiency of Distributed Video-Coding2 (DVC) suffers from the necessity of transmitting a large num-3 ber of key-frames which are intra-coded. This paper describ...
Matthieu Maitre, Christine Guillemot, Luce Morin
118
Voted
COMAD
2008
15 years 5 months ago
Modeling Uncertain and Imprecise Information in Process Modeling with UML
In designing and developing large complex products, people use models to describe and organize interrelated elements in both product systems (architecture, use cases, constraints....
Xiao Jing, Pierre Pinel, Lei Pi, Vincent Aranega, ...
154
Voted
TWC
2008
117views more  TWC 2008»
15 years 3 months ago
On the design, selection algorithm and performance analysis of limited feedback transmit beamforming
Multiple-input multiple-output (MIMO) systems achieve significant diversity and array gains by using transmit beamforming. When complete channel state information (CSI) is not avai...
Alireza Ghaderipoor, Chintha Tellambura
152
Voted
BMCBI
2010
183views more  BMCBI 2010»
15 years 3 months ago
SING: Subgraph search In Non-homogeneous Graphs
Background: Finding the subgraphs of a graph database that are isomorphic to a given query graph has practical applications in several fields, from cheminformatics to image unders...
Raffaele Di Natale, Alfredo Ferro, Rosalba Giugno,...