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» From outliers to prototypes: Ordering data
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IJCNN
2006
IEEE
14 years 1 months ago
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
CSDA
2010
98views more  CSDA 2010»
13 years 7 months ago
Design-based estimation for geometric quantiles with application to outlier detection
Geometric quantiles are investigated using data collected from a complex survey. Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses th...
Mohamed Chaouch, Camelia Goga
MICCAI
2009
Springer
14 years 8 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
ICDE
2009
IEEE
223views Database» more  ICDE 2009»
14 years 8 months ago
Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...
Antonios Deligiannakis, Yannis Kotidis, Vasilis Va...
PCI
2001
Springer
13 years 11 months ago
SEISMO-SURFER: A Prototype for Collecting, Querying, and Mining Seismic Data
Earthquake phenomena constitute a rich source of information over the years. Typically, the frequency of earthquakes worldwide is one every second. Collecting and querying seismic ...
Yannis Theodoridis