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We propose an approach to indoor occupant localization using a network of single-pixel, visible-light sensors. In addition to preserving privacy, our approach vastly reduces data transmission rate and is agnostic to eavesdropping. We develop two purely data-driven localization algorithms and study their performance using a network of 6 such sensors. In one algorithm, we divide the monitored floor...
In this paper, a new method for improving the classification performance of hyperspectral images with the aid of derivative information is investigated. First, spectral features are filtered and derivatives of different orders at different sampling intervals are computed. Then, the suitable spectral magnitude features and different derivative features are chosen by using segmented principle component...
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