Description: Manifold learning in recent years the field of machine learning and pattern recognition as a research focus, its main goal is to find high-dimensional data space observation of low-dimensional smooth manifold. Since 2000 LLE algorithm proposed by Roweis and Saul, Tenenbaum and others proposed Isomap algorithm, especially Donoho, who found that Isomap algorithm can find the potential face images of the parameter space manifold, and Chang-water will LLE algorithm for face recognition and to obtain a good recognition results, the manifold learning-based face recognition research has aroused extensive attention.
To Search:
- [roadidentification.Rar] - road artificial intelligence to identify
- [Manifoldstudy] - The PPT file is about the manifoldstudy,
- [mani] - Contains the code for most manifold lear
- [ltsa] - A non-linear dimensionality reduction of
- [IsomapR1] - A classical manifold learning algorithms
- [LDA_LLE] - Manifold learning methods common LDA and
- [manifoldlearning] - manifold learning algorithms in artifici
File list (Check if you may need any files):
manifolds\.DS_Store
.........\CreateManifoldsFig.m
.........\eigs.m
.........\lle.m
.........\readme.txt
manifolds
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