Open AccessForeground 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