67 citations · 292 across the 17 of their papers we have counts for
Showing 2014 · stat.MLShow all
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stat.ML2014★ 19 cited
Approximation errors of online sparsification criteria
Paul Honeine
Many machine learning frameworks, such as resource-allocating networks, kernel-based methods, Gaussian processes, and radial-basis-function networks, require a sparsification schem…
stat.ML2014★ 43 cited
Analyzing sparse dictionaries for online learning with kernels
Paul Honeine
Many signal processing and machine learning methods share essentially the same linear-in-the-parameter model, with as many parameters as available samples as in kernel-based machin…
stat.ML2014★ 12 cited
An eigenanalysis of data centering in machine learning
Paul Honeine
Many pattern recognition methods rely on statistical information from centered data, with the eigenanalysis of an empirical central moment, such as the covariance matrix in princip…