LPP solution schemes for use with face recognition
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Publication:609151
DOI10.1016/j.patcog.2010.06.016zbMath1207.68329OpenAlexW2089035607WikidataQ57810245 ScholiaQ57810245MaRDI QIDQ609151
Yong Xu, David Zhang, Jian Yang, Aini Zhong
Publication date: 30 November 2010
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2010.06.016
feature extractionface recognitionmanifold learninglocality preserving projectionsmall sample size problems
Related Items (9)
Double adjacency graphs-based discriminant neighborhood embedding ⋮ A supervised non-linear dimensionality reduction approach for manifold learning ⋮ Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition ⋮ Constrained large margin local projection algorithms and extensions for multimodal dimensionality reduction ⋮ A collaborative neighbor representation based face recognition algorithm ⋮ SUPERVISED REGULARIZATION LOCALITY-PRESERVING PROJECTION METHOD FOR FACE RECOGNITION ⋮ Feature extraction using two-dimensional local graph embedding based on maximum margin criterion ⋮ A multi-manifold discriminant analysis method for image feature extraction ⋮ Semi-supervised discriminant analysis method for face recognition
Uses Software
Cites Work
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- Gabor feature-based face recognition using supervised locality preserving projection
- A reformative kernel Fisher discriminant analysis
- Locality pursuit embedding
- Kernel class-wise locality preserving projection
- Local structure based supervised feature extraction
- A fast kernel-based nonlinear discriminant analysis for multi-class problems
- A feature extraction method for use with bimodal biometrics
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