Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Face and Expression Recognition
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.
76.2K works worldwide1.5M citations
Face RecognitionDimensionality ReductionFeature SelectionSupport Vector MachinesEnsemble MethodsLocal Binary PatternsNon-negative Matrix FactorizationSpectral ClusteringLaplacian EigenmapsSparse Representation
Journals publishing in this area
3

IEEE Transactions on Pattern Analysis and Machine Intelligence
ISSN 0162-8828901 articles in this topic
547h-index
11.13Impact
12.1KArticles
1.8MCitations

