Zero-Dimensional Principal Extensions
نویسندگان
چکیده
منابع مشابه
Two-Dimensional Principal Component Analysis and Its Extensions
Normally in Principal Component Analysis (PCA) (Sirovich & Kirby, 1987; Turk & Pentland, 1991), the 2D image matrices are firstly transformed to 1D image vectors by vectorization. The vectorization of a matrix is the column vector obtain by stacking the columns of the matrix on top of one another. The covariance or scatter matrix are formulated from the these image vectors. The covariance matri...
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To my father iii ACKNOWLEDGEMENTS My journey through the PhD program has been a long one, taking me from robotics, to computer vision, to machine learning, and finally to theory. Making so many transitions slowed my graduation, no doubt, but it also allowed me to work with leaders across several research fields and has given me a better perspective on the The most important man in my PhD career...
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Article history: Received 4 August 2008 Received in revised form 12 December 2008 Accepted 13 December 2008 MSC: 54E05 54D35 54G05
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ژورنال
عنوان ژورنال: Acta Applicandae Mathematicae
سال: 2013
ISSN: 0167-8019,1572-9036
DOI: 10.1007/s10440-013-9810-y