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Face Recognition Using KFDA-LLE
2011Locally Linear Embedding (LLE) is a recently proposed algorithm for non-linear dimensionality reduction and manifold learning. However, since LLE aims to discover the intrinsical low dimensional variables from high dimensional nonlinear data, it may not be optimal for classification problem.
Guoqiang Wang, Guoqiang Ding
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Improved LLE Algorithm for Motion Analysis
2007Improved LLE algorithm is proposed. Usually there is translation in practical data. The form of translation relies on the type of data. Data alignment is a very important step for linear or nonlinear dimensionality reduction methods. Original LLE algorithm uses Euclidean distance to find neighbors, and Euclidean distance is not a good measurement for ...
Honggui Li, Xingguo Li
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LLE Based Gait Analysis and Recognition
2004This paper discusses LLE based nonlinear dimensionality reduction of gait images and its application in gait analysis and recognition. Firstly Gaussian derivative based gait segmentation method is given and it is better than classical background subtraction based method. Secondly self-similarity plot based gait alignment method is proposed. Then 1d LLE
Honggui Li, Xingguo Li
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Necessity of imposing total miscibility for certain binary pairs in LLE data correlations
Fluid Phase Equilibria, 2021Paloma Carbonell-Hermida +2 more
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