Feature Selection Based on Structured Sparsity: A Comprehensive Study.
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DOI: 10.1109/tnnls.2016.2551724
Abstract: Feature selection (FS) is an important component of many pattern recognition tasks. In these tasks, one is often confronted with very high-dimensional data. FS algorithms are designed to identify the relevant feature subset from the… read more here.
Keywords: feature selection; feature; selection based; ssfs methods ... See more keywords