Face recognition using discriminant locality preserving projections based on maximum margin criterion
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Publication:991979
DOI10.1016/j.patcog.2010.04.007zbMath1209.68469OpenAlexW1979306890MaRDI QIDQ991979
Gui-Fu Lu, Zhong Lin, Zhong Jin
Publication date: 8 September 2010
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2010.04.007
Related Items (10)
L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso ⋮ Discriminant sparse neighborhood preserving embedding for face recognition ⋮ Constrained large margin local projection algorithms and extensions for multimodal dimensionality reduction ⋮ Incremental tensor principal component analysis for handwritten digit recognition ⋮ Supervised orthogonal discriminant subspace projects learning for face recognition ⋮ Regularized least squares locality preserving projections with applications to image recognition ⋮ SUPERVISED REGULARIZATION LOCALITY-PRESERVING PROJECTION METHOD FOR FACE RECOGNITION ⋮ Discriminant subspace learning constrained by locally statistical uncorrelation for face recognition ⋮ A novel discriminant locality preserving projections method ⋮ \(\upsilon\)-support vector machine based on discriminant sparse neighborhood preserving embedding
Uses Software
Cites Work
- Unnamed Item
- Improved discriminate analysis for high-dimensional data and its application to face recognition
- An efficient discriminant-based solution for small sample size problem
- Orthogonal neighborhood preserving discriminant analysis for face recognition
- Face recognition with one training image per person
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
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