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» Improving the SLA Algorithm Using Association Rules
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CSDA
2007
99views more  CSDA 2007»
15 years 19 days ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
100
Voted
EDBT
2009
ACM
156views Database» more  EDBT 2009»
15 years 5 months ago
Evaluating very large datalog queries on social networks
We consider a near future scenario in which users of a Web 2.0 application, such as a social network, contribute to the application not only data, but also rules which automatical...
Royi Ronen, Oded Shmueli
90
Voted
ICASSP
2007
IEEE
15 years 7 months ago
Particle PHD Filtering for Multi-Target Visual Tracking
We propose a multi-target tracking algorithm based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. The PHD filter is used to compen...
Emilio Maggio, Elisa Piccardo, Carlo S. Regazzoni,...
PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
15 years 6 months ago
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
Richard Frank, Flavia Moser, Martin Ester
106
Voted
PDP
2003
IEEE
15 years 6 months ago
A Parallel Evolutionary Algorithm for Circuit Partitioning
As general-purpose parallel computers are increasingly being used to speed up different VLSI applications, the development of parallel algorithms for circuit testing, logic minimi...
Raul Baños, Consolación Gil, Maria D...