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» Graph model selection using maximum likelihood
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BMCBI
2008
208views more  BMCBI 2008»
13 years 10 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
ICCV
2011
IEEE
12 years 10 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
CIKM
2011
Springer
12 years 10 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
NETWORK
2010
122views more  NETWORK 2010»
13 years 4 months ago
Betweenness centrality and resistance distance in communication networks
In this article we report on applications and extensions of weighted graph theory in the design and control of communication networks. We model the communication network as a weig...
Ali Tizghadam, Alberto Leon-Garcia
CVPR
2005
IEEE
15 years 2 days ago
Bi-Layer Segmentation of Binocular Stereo Video
This paper describes two algorithms capable of real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from colour/co...
Vladimir Kolmogorov, Antonio Criminisi, Andrew Bla...