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PAA
2002
13 years 4 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
IGARSS
2009
13 years 2 months ago
Rapid Detection of Agricultural Food Crop Contamination via Hyperspectral Remote Sensing
In this study, the authors investigate the use of hyperspectral imaging for food crop monitoring and contamination detection and characterization. The authors investigate the use ...
Terrance West, Lori M. Bruce, Saurabh Prasad, Dani...
MCS
2009
Springer
13 years 11 months ago
Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data
The classification of hyperspectral imagery, using multiple classifier systems is discussed and an SVM-based ensemble is introduced. The data set is separated into separate featu...
Xavier Ceamanos, Björn Waske, Jon Atli Benedi...
IPMI
2005
Springer
14 years 5 months ago
Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations
Information fusion has, in the form of multiple classifier systems, long been a successful tool in pattern recognition applications. It is also becoming increasingly popular in bio...
Torsten Rohlfing, Adolf Pfefferbaum, Edith V. Sull...
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 4 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han