On low-rank plus sparse matrix sensing

<p>Expressing a matrix as the sum of a low-rank matrix plus a sparse matrix is a flexible model capturing global and local features in data, and is the foundation of robust principal component analysis (Candès et al., 2011). This thesis is concerned with <em>low-rank plus sparse matrix s...

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Detalhes bibliográficos
Autor principal: Vary, S
Outros Autores: Tanner, J
Formato: Tese
Idioma:English
Publicado em: 2021
Assuntos: