Less is more: Avoiding the LIBS dimensionality curse through judicious feature selection for explosive detection.

ABSTRACT: Despite its intrinsic advantages, translation of laser induced breakdown spectroscopy for material identification has been often impeded by the lack of robustness of developed classification models, often due to the presence of spurious correlations. While a number of classifiers exhibiting high discriminatory power have been reported, efforts in establishing the subset of relevant spectral features that enable a fundamental interpretation of the segmentation capability and avoid the 'curse of dimensionality' have been lacking. Using LIBS data acquired from a set of secondary explosives, we investigate judicious feature selection approaches and architect two different chemometrics classifiers -based on feature selection through prerequisite knowledge of the sample composition and genetic a

SUBMITTER: Kumar Myakalwar A 

PROVIDER: S-EPMC4541340 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature