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Efficient online algorithms are developed to perform dictionary learning (DL) for the features lifted to a high-dimensional space via nonlinear mapping. Inspired by recent works on batch kernelized DL with promising performance for real-world learning tasks, two kernel DL formulations are put forth, amenable to online processing. The first formulation aims at faithfully representing the high-dimensional...
An online spectrum cartography algorithm is proposed to reconstruct power spectral density (PSD) maps in space and frequency based on compressed and quantized sensor measurements. The emerging regression task is addressed by decomposing the PSD at every location into a linear combination of the power spectra (due to individual transmitters and background noise) scaled by attenuation functions capturing...
Nonnegative matrix tri-factorization (NMTF) X ≈ FSGT with all matrices nonnegative can reveal simultaneous row and column clusters of X, as well as the associations among the two. In this work, a sparsity-promoting variant is proposed and a simple multiplicative algorithm is developed. The resulting sparse NMTF is further robustified to cope with presence of outliers in the data. A synthetic example...
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