Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3125956
Abstract: Linear discriminant analysis (LDA) aims to find a low-dimensional space in which data points in the same class are to be close to each other while keeping data points from different classes apart. To improve… read more here.
Keywords: analysis; data points; discriminant analysis; locality discriminant ... See more keywords
Fast Locality Discriminant Analysis With Adaptive Manifold Embedding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3162498
Abstract: Linear discriminant analysis (LDA) has been proven to be effective in dimensionality reduction. However, the performance of LDA depends on the consistency assumption of the global structure and the local structure. Some work extended LDA… read more here.
Keywords: discriminant analysis; analysis; fast locality; locality discriminant ... See more keywords