Facial feature localization based on an improved active shape model
Information Sciences: an International Journal
Locality sensitive semi-supervised feature selection
Neurocomputing
Palmprint recognition with improved two-dimensional locality preserving projections
Image and Vision Computing
Supervised dimensionality reduction via sequential semidefinite programming
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Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition
International Journal of Computer Vision
A multiexpert collaborative biometric system for people identification
Journal of Visual Languages and Computing
Normal maps vs. visible images: Comparing classifiers and combining modalities
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Semi-supervised orthogonal discriminant analysis via label propagation
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Enhanced graph-based dimensionality reduction with repulsion Laplaceans
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Graph-optimized locality preserving projections
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Evolutionary cross-domain discriminative hessian eigenmaps
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Nonnegative matrix factorization with bounded total variational regularization for face recognition
Pattern Recognition Letters
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PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Orthogonal locally discriminant projection for palmprint recognition
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
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A survey of multilinear subspace learning for tensor data
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SIAM Journal on Scientific Computing
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Neural Processing Letters
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Graph optimization for dimensionality reduction with sparsity constraints
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Computers and Electrical Engineering
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MiFor '11 Proceedings of the 3rd international ACM workshop on Multimedia in forensics and intelligence
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Pattern Recognition Letters
Gender from body: a biologically-inspired approach with manifold learning
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Supervised subspace learning with multi-class lagrangian SVM on the grassmann manifold
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
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Computer Vision and Image Understanding
On nonlinear dimensionality reduction for face recognition
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A block-based orthogonal locality preserving projection method for face super-resolution
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Engineering Applications of Artificial Intelligence
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International Journal of Computer Vision
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Following the intuition that the naturally occurring face data may be generated by sampling a probability distribution that has support on or near a submanifold of ambient space, we propose an appearance-based face recognition method, called orthogonal Laplacianface. Our algorithm is based on the locality preserving projection (LPP) algorithm, which aims at finding a linear approximation to the eigenfunctions of the Laplace Beltrami operator on the face manifold. However, LPP is nonorthogonal, and this makes it difficult to reconstruct the data. The orthogonal locality preserving projection (OLPP) method produces orthogonal basis functions and can have more locality preserving power than LPP. Since the locality preserving power is potentially related to the discriminating power, the OLPP is expected to have more discriminating power than LPP. Experimental results on three face databases demonstrate the effectiveness of our proposed algorithm