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@article{Varshney2011LinearDR, title={Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks}, author={Kush R. Varshney and Alan S. Willsky}, journal={IEEE Transactions on Signal Processing}, year={2011}, volume={59}, pages={2496-2512} }

- Published 2011 in IEEE Transactions on Signal Processing
DOI:10.1109/TSP.2011.2123891

Low-dimensional statistics of measurements play an important role in detection problems, including those encountered in sensor networks. In this work, we focus on learning low-dimensional linear statistics of high-dimensional measurement data along with decision rules defined in the low-dimensional space in the case when the probability density of the measurements and class labels is not given, but a training set of samples from this distribution is given. We pose a joint optimization problem… CONTINUE READING

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