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SGAI
2007
Springer
15 years 10 months ago
Frequent Set Meta Mining: Towards Multi-Agent Data Mining
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is de...
Kamal Ali Albashiri, Frans Coenen, Robert Sanderso...
METMBS
2003
165views Mathematics» more  METMBS 2003»
15 years 5 months ago
GeneBox: Interactive Visualization of Microarray Data Sets
Abstract Technological advancements are constantly increasing the size and complexity of data resulting from microarray experiments. This fact has led biologists to ask complex que...
Nameeta Shah, Vladimir Filkov, Bernd Hamann, Kenne...
TIP
2010
146views more  TIP 2010»
15 years 2 months ago
Effective Level Set Image Segmentation With a Kernel Induced Data Term
Abstract—This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps impli...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 4 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
ICIP
2006
IEEE
16 years 6 months ago
Supershape Recovery from 3D Data Sets
In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are u...
Andrei V. Gribok, Frédéric Truchetet...