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» Accelerated EM-based clustering of large data sets
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ICPR
2010
IEEE
13 years 10 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
ISVC
2007
Springer
14 years 2 months ago
Interactive Glyph Placement for Tensor Fields
Visualization of glyphs has a long history in medical imaging but gains much more power when the glyphs are properly placed to fill the screen. Glyph packing is often performed vi...
Mario Hlawitschka, Gerik Scheuermann, Bernd Hamann
CLOR
2006
13 years 11 months ago
Components for Object Detection and Identification
We present a component-based system for object detection and identification. From a set of training images of a given object we extract a large number of components which are clust...
Bernd Heisele, Ivaylo Riskov, Christian Morgenster...
ICDIM
2010
IEEE
13 years 6 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong
BMCBI
2008
126views more  BMCBI 2008»
13 years 8 months ago
Relating gene expression data on two-component systems to functional annotations in Escherichia coli
Background: Obtaining physiological insights from microarray experiments requires computational techniques that relate gene expression data to functional information. Traditionall...
Anne M. Denton, Jianfei Wu, Megan K. Townsend, Pre...