Austin J. Brockmeier — accepted AI-conference papers

2022

The Representation Jensen-Rényi Divergence

Jhoan Keider Hoyos-Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo

ICASSP 2022accepted

We introduce a divergence measure between data distributions based on operators in reproducing kernel Hilbert spaces defined by kernels. The empirical estimator of the divergence is computed using the eigenvalues of positive definite Gram matrices that are obtained by evaluating the kernel over pair…

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2015

Explicit versus implicit source estimation for blind multiple input single output system identification

Austin J. Brockmeier, José C. Príncipe

ICASSP 2015accepted

Sparsely-activated time series are found in many physical systems. In these cases, the signals can be approximated by convolution of sparse sources with a set of shift-invariant filters. When there is access to only one sensor, such that there is a single observation signal, identifying the source s…

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