Browsing Department of Materials Science and Metallurgy by Subject "classification"
Now showing items 1-2 of 2
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Bounds on the Number of Measurements for Reliable Compressive Classification
(IEEEIEEE Transactions on Signal Processing, 2016-11-15)This paper studies the classification of high-dimensional Gaussian signals from low-dimensional noisy, linear measurements. In particular, it provides upper bounds (sufficient conditions) on the number of measurements ...
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Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information
(IEEEIEEE Transactions on Information Theory, 2016-09-07)This paper offers a characterization of fundamental limits on the classification and reconstruction of high-dimensional signals from low-dimensional features, in the presence of side information. We consider a scenario ...