Face and Expression Recognition
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Scope of this subject
This cluster of papers focuses on the application of various machine learning and dimensionality reduction techniques to the field of face recognition. It covers topics such as feature selection, support vector machines, ensemble methods, local binary patterns, non-negative matrix factorization, spectral clustering, Laplacian eigenmaps, and sparse representation in the context of face recognition.
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Research vocabulary
face recognition; manifold learning; ORL face database; eigenfaces; pose variation; nonlinear dimensionality reduction; facial feature extraction; face verification; locally linear embedding; small sample size problem; 2DPCA; face classification; unsupervised feature selection; subspace learning; facial expression variation; sparse representation classification; locality preserving projection; Yale face database; JAFFE database; local structure preservation; Fisherfaces; robust face recognition; Isomap; expression variation; FERET database
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No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36042851364290655 · morton4x16-v1
Coordinates: (3, 17, 1707, 10057). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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