A linear subspace learning approach via sparse coding

Abstract

Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower dimensional space by linear projection. Most LSL methods compute directly the statistics of original training samples to learn the subspace. However, these methods do not effectively… (More)
DOI: 10.1109/ICCV.2011.6126313

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