A Promising Nonlinear Dimensionality Reduction Method: Kernel-Based Within Class Collaborative Preserving Discriminant Projection
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DOI: 10.1109/lsp.2020.3037460
Abstract: High-dimensional small sample size problems exist in the real world, which significantly increases the difficulty of data processing. In this paper, we propose a kernel-based within class collaborative preserving discriminant projection method to reduce data… read more here.
Keywords: kernel based; based within; method; class ... See more keywords
Deep Max-Margin Discriminant Projection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2831792
Abstract: In this paper, a unified Bayesian max-margin discriminant projection framework is proposed, which is able to jointly learn the discriminant feature space and the max-margin classifier with different relationships between the latent representations and observations.… read more here.
Keywords: margin discriminant; discriminant projection; projection; max margin ... See more keywords