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» Computing LTS Regression for Large Data Sets
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SSPR
2004
Springer
14 years 2 months ago
Feature Shaving for Spectroscopic Data
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
Serguei Verzakov, Pavel Paclík, Robert P. W...
ICASSP
2011
IEEE
13 years 1 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...
VMV
2001
105views Visualization» more  VMV 2001»
13 years 10 months ago
Facial Reconstruction Using Volumetric Data
In this paper we demonstrate computer aided techniques in the area of the reconstruction of facial features from skeletal remains. We outline the desired features of a system for ...
Mark W. Jones
EUSAI
2003
Springer
14 years 2 months ago
Experimental Evaluation of Variations in Primary Features Used for Accelerometric Context Recognition
The paper describes initial results in an ongoing project aimed at providing and analyzing standardized, representative data sets for typical context recognition tasks. Such data ...
Ernst A. Heinz, Kai S. Kunze, Stefan Sulistyo, Hol...
EDBT
2009
ACM
207views Database» more  EDBT 2009»
14 years 18 days ago
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
Reynold Cheng, Lei Chen 0002, Jinchuan Chen, Xike ...