Generalized principal component analysis (GPCA) - Vidal, R.; Yi Ma; Sastry, S. (IEEE transactions on pattern analysis and machine intelligence, 2005)
Keywords: Algorithms; Application software; Applied sciences; Artificial Intelligence; Cluster Analysis; Clustering algorithms; Computer science; control theory; systems; Computer Simulation; Computer vision; Data points; Derivatives; dimensionality reduction; dynamic scenes and motion segmentation; Exact sciences and technology; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; Index Terms- Principal component analysis (PCA); Information Storage and Retrieval - methods; Iterative algorithms; Kernel; Machine learning; Mathematical analysis; Mathematical models; Matrix decomposition; Models, Statistical; Motion segmentation; Pattern Recognition, Automated - methods; Pattern recognition. Digital image processing. Computational geometry; Polynomials; Principal Component Analysis; Principal components analysis; Segmentation; Studies; subspace segmentation; Subspaces; temporal video segmentation; Three dimensional; Vectors (mathematics); Veronese map; subspace segmentation; Computer vision; dynamic scenes and motion segmentation; Veronese map; temporal video segmentation; Multiple view; Index Terms-Principal component analysis (PCA); Image segmentation; Dimension reduction; dimensionality reduction; Multidimensional database; Scene analysis; Tridimensional image; EM algorithm; Pattern analysis; Principal component analysis