Recursive locality preserving projection for feature extraction
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Summary
A novel feature extractor called recursive locality preserving projection (RLPP) is developed, which inherits the advantages of LPP and at the same time makes some improvements and is more powerful than the related methods.
- Type
- article
- Published
- 2015-06-21
- Cited by
- 0
- References
- 38
- OpenAlex
- https://openalex.org/W608272987
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:262762293
Keywords
Discriminative model, Locality, Pattern recognition (psychology), Redundancy (engineering), Computer science
References
- Signal Theory Methods in Multispectral Remote Sensing
- Pattern Classification (2nd ed.)
- The AR face database
- Theory analysis on FSLDA and ULDA
- An Optimal Set of Discriminant Vectors
- Uncorrelated Projection Discriminant Analysis And Its Application To Face Image Feature Extraction
- Local-information-based uncorrelated feature extraction
- Face recognition based on the uncorrelated discriminant transformation
- Gabor feature-based face recognition using supervised locality preserving projection
- Face recognition using recursive Fisher linear discriminant
- Supervised optimal locality preserving projection
- Ultracompact and large-scale power splitters on silicon-based two-dimensional photonic crystals at near-infrared wavelengths
- Optimal Locality Preserving Projection
- A theorem on the uncorrelated optimal discriminant vectors
- Improvements on the uncorrelated optimal discriminant vectors
- Uncorrelated discriminant vectors using a kernel method
- Life grade recognition method based on supervised uncorrelated orthogonal locality preserving projection and K-nearest neighbor classifier
- An efficient algorithm to solve the small sample size problem for LDA
- UCI Repository of machine learning databases
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
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