@inproceedings{e1cfa42f25154ad18b6c526ae1d9aaf1,
title = "Scalable information-optimal compressive target recognition",
abstract = "We present a scalable information-optimal compressive imager optimized for the target classification task, discriminating between two target classes. Compressive projections are optimized using the Cauchy-Schwarz Mutual Information (CSMI) metric, which provides an upper-bound to the probability of error of target classification. The optimized measurements provide significant performance improvement relative to random and PCA secant projections. We validate the simulation performance of information-optimal compressive measurements with experimental data.",
keywords = "Cauchy-Schwarz Mutual Information, Classification, Compressive Imaging, Target Recognition",
author = "Ronan Kerviche and Amit Ashok",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Computational Imaging ; Conference date: 17-04-2016 Through 18-04-2016",
year = "2016",
doi = "10.1117/12.2228570",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Kubala, {Kenneth S.} and Lei Tian and Abhijit Mahalanobis and Amit Ashok and Petruccelli, {Jonathan C.}",
booktitle = "Computational Imaging",
}