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» Approximations in Distributed Optimization
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PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
15 years 11 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
ICASSP
2008
IEEE
16 years 19 days ago
Generalized Gaussian Markov random field image restoration using variational distribution approximation
In this paper we propose novel algorithms for image restoration and parameter estimation with a Generalized Gaussian Markov Random Field prior utilizing variational distribution a...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICC
2009
IEEE
171views Communications» more  ICC 2009»
15 years 3 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...
DEXAW
1999
IEEE
168views Database» more  DEXAW 1999»
15 years 10 months ago
Using the Distance Distribution for Approximate Similarity Queries in High-Dimensional Metric Spaces
We investigate the problem of approximate similarity (nearest neighbor) search in high-dimensional metric spaces, and describe how the distance distribution of the query object ca...
Paolo Ciaccia, Marco Patella
PODC
2005
ACM
15 years 11 months ago
Facility location: distributed approximation
In this paper, we initiate the study of the approximability of the facility location problem in a distributed setting. In particular, we explore a trade-off between the amount of...
Thomas Moscibroda, Roger Wattenhofer