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ICASSP
2011
IEEE
12 years 11 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
CGI
2009
IEEE
13 years 11 months ago
Visual analytics of time dependent 2D point clouds
Two dimensional point data can be considered one of the most basic, yet one of the most ubiquitous data types arising in a wide variety of applications. The basic scatter plot app...
Tatiana von Landesberger, Sebastian Bremm, Peyman ...
FGCS
2006
148views more  FGCS 2006»
13 years 7 months ago
Personal Varrier: Autostereoscopic virtual reality display for distributed scientific visualization
As scientific data sets increase in size, dimensionality, and complexity, new high resolution, interactive, collaborative networked display systems are required to view them in re...
Tom Peterka, Daniel J. Sandin, Jinghua Ge, Javier ...
CVPR
2008
IEEE
14 years 9 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
BMCBI
2008
109views more  BMCBI 2008»
13 years 7 months ago
MetaFIND: A feature analysis tool for metabolomics data
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
Kenneth Bryan, Lorraine Brennan, Padraig Cunningha...