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» A Framework for Visualising Large Graphs
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CVPR
2005
IEEE
15 years 11 months ago
Graph Embedding: A General Framework for Dimensionality Reduction
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
TCSV
2002
134views more  TCSV 2002»
14 years 9 months ago
Factor graph framework for semantic video indexing
Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video data content by semanti...
Milind R. Naphade, Igor Kozintsev, Thomas S. Huang
SAC
2002
ACM
14 years 9 months ago
A mobility and traffic generation framework for modeling and simulating ad hoc communication networks
We present a generic mobility and traffic generation framework that can be incorporated into a tool for modeling and simulating large scale ad hoc networks. Three components of thi...
Christopher L. Barrett, Madhav V. Marathe, James P...
CVPR
2007
IEEE
15 years 11 months ago
Large scale vision-based navigation without an accurate global reconstruction
Autonomous cars will likely play an important role in the future. A vision system designed to support outdoor navigation for such vehicles has to deal with large dynamic environme...
Albert Diosi, Anthony Remazeilles, François...
SDM
2010
SIAM
182views Data Mining» more  SDM 2010»
14 years 11 months ago
HCDF: A Hybrid Community Discovery Framework
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...