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» Handling variations and uncertainties
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ICASSP
2010
IEEE
13 years 7 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
ANOR
2010
135views more  ANOR 2010»
13 years 7 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
CORR
2008
Springer
126views Education» more  CORR 2008»
13 years 7 months ago
3D Building Model Fitting Using A New Kinetic Framework
We describe a new approach to fit the polyhedron describing a 3D building model to the point cloud of a Digital Elevation Model (DEM). We introduce a new kinetic framework that hi...
Mathieu Brédif, Didier Boldo, Marc Pierrot ...
JBI
2008
104views Bioinformatics» more  JBI 2008»
13 years 7 months ago
Ontology-enhanced automatic chief complaint classification for syndromic surveillance
Emergency department free-text chief complaints (CCs) are a major data source for syndromic surveillance. CCs need to be classified into syndromic categories for subsequent automa...
Hsin-Min Lu, Daniel Zeng, Lea Trujillo, Ken Komats...
PAMI
2006
128views more  PAMI 2006»
13 years 7 months ago
On Weighting Clustering
Recent papers and patents in iterative unsupervised learning have emphasized a new trend in clustering. It basically consists of penalizing solutions via weights on the instance po...
Richard Nock, Frank Nielsen