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108
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AUTOMATICA
2007
75views more  AUTOMATICA 2007»
15 years 3 months ago
Systematic ultimate bound computation for sampled-data systems with quantization
We present a novel systematic method to obtain componentwise ultimate bounds in perturbed sampled-data systems, especially when the perturbations arise due to quantization. The pr...
Hernan Haimovich, Ernesto Kofman, María M. ...
168
Voted
ICC
2009
IEEE
171views Communications» more  ICC 2009»
15 years 1 months ago
An Accurate Approximation to the Distribution of the Sum of Equally Correlated Nakagami-m Envelopes and Its Application in Equal
We present a novel and accurate approximation for the distribution of the sum of equally correlated Nakagami-m variates. Ascertaining on this result we study the performance of Equ...
Zoran Hadzi-Velkov, Nikola Zlatanov, George K. Kar...
ICDE
2008
IEEE
158views Database» more  ICDE 2008»
16 years 4 months ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang
132
Voted
INFOVIS
2003
IEEE
15 years 8 months ago
Visualization of Large-Scale Customer Satisfaction Surveys Using a Parallel Coordinate Tree
Satisfaction surveys are an important measurement tool in fields such as market research or human resources management. Serious studies consist of numerous questions and contain a...
Dominique Brodbeck, Luc Girardin
149
Voted
JMLR
2008
209views more  JMLR 2008»
15 years 3 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger