Foreground Detection via Robust Low Rank Matrix Factorization including Spatial Constraint with Iterative Reweighted Regression | Zendy

Charles Guyon | Zendy; Thierry Bouwmans | Zendy; El-Hadi Zahzah | Zendy

Open Access

Foreground Detection via Robust Low Rank Matrix Factorization including Spatial Constraint with Iterative Reweighted Regression

Author(s) -

Charles Guyon,

Thierry Bouwmans,

El-Hadi Zahzah

Publication year - 2012

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

Subject(s) - robust principal component analysis , computer science , subspace topology , outlier , artificial intelligence , foreground detection , matrix decomposition , rank (graph theory) , pattern recognition (psychology) , iteratively reweighted least squares , constraint (computer aided design) , pixel , non negative matrix factorization , object detection , iterative method , computer vision , algorithm , principal component analysis , mathematics , total least squares , eigenvalues and eigenvectors , singular value decomposition , physics , geometry , quantum mechanics , combinatorics

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