https://openalex.org/T10057
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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rdfs:label "Face Recognition and Dimensionality Reduction Techniques"@en ;
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openalex:cited_by_count 1303674 ;
openalex:works_count 58329 .