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PAA
2002
13 years 7 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
INTERFACES
2010
211views more  INTERFACES 2010»
13 years 5 months ago
HP Transforms Product Portfolio Management with Operations Research
:  HP Transforms Product Portfolio Management with Operations Research Julie Ward, Bin Zhang, Shailendra Jain, Chris Fry, Thomas Olavson, Holger Mishal, Jason Amaral, Dirk Beyer...
Julie Ward, Bin Zhang, Shailendra Jain, Chris Fry,...
IVC
2010
289views more  IVC 2010»
13 years 5 months ago
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until re...
Neill D. F. Campbell, George Vogiatzis, Carlos Her...
JMS
2010
90views more  JMS 2010»
13 years 5 months ago
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Kristien Van Loon, Fabián Güiza, Geert...
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 5 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala