Data representation and feature selection for colorimetric sensor arrays used as explosives detectors

IEEE International Workshop on Machine Learning for Signal Processing

Volumn , Issue , 2011, Pages

  Alstrøm, Tommy S ^a   Larsen, Jan ^a   Kostesha, Natalie V ^a   Jakobsen, Mogens H ^a   Boisen, Anja ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

artificial neural networks (ANN); chemo selective compounds; classification; colorimetric sensor array; DNT; explosives detection; feature ranking; Gram Schmidt orthogonalization; K nearest neighbor (KNN); sparse logistic regression (SLR); TNT

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CHEMOSELECTIVE; COLORIMETRIC SENSORS; DNT; FEATURE RANKING; GRAM-SCHMIDT ORTHOGONALIZATIONS; K-NEAREST NEIGHBORS; SPARSE LOGISTIC REGRESSION (SLR); TNT;

CLASSIFICATION (OF INFORMATION); COLOR; COLORIMETRIC ANALYSIS; COLORIMETRY; DETECTORS; EXPLOSIVES DETECTION; FEATURE EXTRACTION; LEARNING SYSTEMS; NEURAL NETWORKS; NUMERICAL METHODS; REGRESSION ANALYSIS; SENSOR ARRAYS; SIGNAL DETECTION; VOLATILE ORGANIC COMPOUNDS; WATER VAPOR;

EXPLOSIVES;

EID: 82555189353     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2011.6064615     Document Type: Conference Paper

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