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» Robust estimation for sparse data
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ACML
2009
Springer
15 years 8 months ago
Community Detection on Weighted Networks: A Variational Bayesian Method
Abstract. Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way f...
Qixia Jiang, Yan Zhang, Maosong Sun
ICCV
2007
IEEE
15 years 5 months ago
Efficient Generic Calibration Method for General Cameras with Single Centre of Projection
Generic camera calibration is a non-parametric calibration technique that is applicable to any type of vision sensor. However, the standard generic calibration method was develope...
Aubrey K. Dunne, John Mallon, Paul F. Whelan
RANLP
2003
15 years 2 months ago
Structured parameter estimation for LFG-DOP
Despite its state-of-the-art performance, the Data Oriented Parsing (DOP) model has been shown to suffer from biased parameter estimation, and the good performance seems more the ...
Mary Hearne, Khalil Sima'an
115
Voted
PE
2002
Springer
176views Optimization» more  PE 2002»
15 years 1 months ago
Effective bandwidth estimation and testing for Markov sources
This work addresses the resource sharing problem in broadband communication networks that can guarantee some quality of service (QoS), and develops some results about data source ...
Juan Pechiar, Gonzalo Perera, María Simon
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 4 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....