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Minimum Eigenvector Collaborative Representation Discriminant Projection for Feature Extraction
High-dimensional signals, such as image signals and audio signals, usually have a sparse or low-dimensional manifold structure, which can be projected into a low-dimensional subspace to improve the efficiency and effectiveness of data processing. In this paper, we propose a linear dimensionality red...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506857/ https://www.ncbi.nlm.nih.gov/pubmed/32847071 http://dx.doi.org/10.3390/s20174778 |