2021
DOI: 10.1016/j.asoc.2021.107723
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Smooth non-negative sparse representation for face and handwritten recognition

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Cited by 10 publications
(1 citation statement)
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“…In [30], a novel sparse non-negative approximation approach was proposed for classifying face and handwritten images. The authors proposed a convex sparse coding problem which was then used with overcomplete discrete cosine transform (DCT) dictionaries to classify handwritten images.…”
Section: Sparse Learning Approachesmentioning
confidence: 99%
“…In [30], a novel sparse non-negative approximation approach was proposed for classifying face and handwritten images. The authors proposed a convex sparse coding problem which was then used with overcomplete discrete cosine transform (DCT) dictionaries to classify handwritten images.…”
Section: Sparse Learning Approachesmentioning
confidence: 99%