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» Approximations in Distributed Optimization
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PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
16 years 1 days 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 1 months 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 4 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 11 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
16 years 3 days 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