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A general kernelization framework for learning algorithms based on kernel PCA

✍ Scribed by Changshui Zhang; Feiping Nie; Shiming Xiang

Book ID
113816373
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
238 KB
Volume
73
Category
Article
ISSN
0925-2312

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## Abstract Despite extensive research, optimal performance has not easily been available previously for matrix multiplication (especially for large matrices) on most architectures because of the lack of a structured approach and the limitations imposed by matrix storage formats. A simple but effec