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Просмотр по автору "Lu J."

Просмотр по автору "Lu J."

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  • Generalized Embedding Regression: A Framework for Supervised Feature Extraction 
    Lu J.; Lai Z.; Wang H.; Chen Y.; Zhou J.; Shen L. (2020)
    IEEE Sparse discriminative projection learning has attracted much attention due to its good performance in recognition tasks. In this article, a framework called generalized embedding regression (GER) is proposed, which ...
  • Low-rank adaptive graph embedding for unsupervised feature extraction 
    Lu J.; Wang H.; Zhou J.; Chen Y.; Lai Z.; Hu Q. (2020)
    © 2020 Most of manifold learning based feature extraction methods are two-step methods, which first construct a weighted neighborhood graph and then use the pre-constructed graph to perform subspace learning. As a result, ...
  • Target redirected regression with dynamic neighborhood structure 
    Lu J.; Lin J.; Lai Z.; Wang H.; Zhou J. (2021)
    Least squares regression (LSR) has attracted widespread attention in the fields of statistics, machine learning, and pattern recognition. However, it utilizes strict zero-one regression targets, which leads to inferior ...

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