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- W1539779574 abstract "I hope to start from one question. Is the eigenface[1] a subspace method? Answer is weakly YES and strongly NO. In wide meaning in of pattern recognition is that uses subspace. In this meaning the answer is YES. However in narrow meaning the term Subspace method means pattern recognition techniques that represent class featuring information with subspace of original feature space[2]. The eigenface subspace represent common feature of trained faces, that is differ from class information. Thus in this meaning the answer is NO.For understanding the term of Subspace method, we shall trace back to a root. In this article I try to clarify the meaning of through the historical study. To this goal we trace histories of methods from their birth at 1960s to 21c. We studied the history both side of theory and applications, because sometimes new theory is inspired by new application and new theory extend applicability of methods." @default.
- W1539779574 created "2016-06-24" @default.
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- W1539779574 date "2011-01-01" @default.
- W1539779574 modified "2023-09-28" @default.
- W1539779574 title "A Brief History of the Subspace Methods" @default.
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- W1539779574 doi "https://doi.org/10.1007/978-3-642-22819-3_44" @default.
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