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ICDCS
2002
IEEE
14 years 23 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 8 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
ADBIS
2004
Springer
134views Database» more  ADBIS 2004»
14 years 1 months ago
Retrieval by Color Features in Image Databases
What is presented in this paper is our work in the area of image organization and retrieval in Image Databases using global color features and spatial color distribution of images....
Irena Valova, Boris Rachev
ISCA
2008
IEEE
101views Hardware» more  ISCA 2008»
13 years 7 months ago
Scalability in Analyzing the Availability of Large-Scale Networks using Multicast
The goal of this paper is to identify and discuss scalability issues for the measurement-based analysis of the availability in large-scale networks using IP multicast technology. ...
Falko Dressler
ICASSP
2011
IEEE
12 years 11 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...