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Wiley Interdisciplinary Reviews: Computational Statistics, ISSN 1939-5108, 07/2010, Volume 2, Issue 4, pp. 433 - 459
Journal Article
Nature Physics, ISSN 1745-2473, 2014, Volume 10, Issue 9, pp. 631 - 633
The usual way to reveal properties of an unknown quantum state, given many copies of a system in that state, is to perform measurements of different... 
PHYSICS, MULTIDISCIPLINARY | MATRICES | ALGORITHMS | Principal components analysis | Quantum physics | Algorithms | Eigenvalues | Tomography | Data processing | Eigenvectors | Transformations | Density | Principal component analysis | Physics - Quantum Physics
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 06/2006, Volume 15, Issue 2, pp. 265 - 286
Journal Article
2002, 2nd ed., Springer series in statistics., ISBN 0387954422, xxix, 487
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject... 
statistical analysis | Principal components analysis | Mathematical statistics | Statistical Theory and Methods
Book
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2011, Volume 20, Issue 12, pp. 3419 - 3430
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 10/2019, Volume 41, Issue 10, pp. 2365 - 2379
Dictionary learning and component analysis models are fundamental for learning compact representations that are relevant to a given task (feature extraction,... 
Dictionaries | Computational modeling | sparsity | dictionary learning | global optimality | Sparse matrices | Tensile stress | Machine learning | low-rank | Component analysis | Data models | separable dictionaries | Principal component analysis | Low-rank | Global Optimality | Dictionary Learning | Sparsity | Component Analysis | Separable Dictionaries | Index Medicus
Journal Article
Transfusion, ISSN 0041-1132, 07/2018, Volume 58, Issue 7, pp. 1580 - 1582
Journal Article
Pattern Recognition, ISSN 0031-3203, 06/2018, Volume 78, pp. 215 - 227
When modeling multivariate data, one might have an extra parameter of contextual information that could be used to treat some observations as more similar to... 
Manifold approximation | Face modeling | Manifold learning | Principal component analysis | ACTIVE APPEARANCE MODELS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer Science - Computer Vision and Pattern Recognition
Journal Article