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| 书名： | Multilinear Subspace Learning | |
|---|---|---|
| 作者： | Haiping Lu, Konstantinos N. Plataniotis, and Anastasios Venetsanopoulos | |
| 出版时间： | 2013-01-01 | |
| ISBN： | 9781439857243(P-ISBN) ，9781439857298(E-ISBN) | |
| 摘要： | ||
| 摘要： | ||
书目详情：
Front MatterChapter 1. IntroductionPart I. Fundamentals and FoundationsChapter 2. Linear Subspace Learning for Dimensionality ReductionChapter 3. Fundamentals of Multilinear Subspace LearningChapter 4. Overview of Multilinear Subspace LearningChapter 5. Algorithmic and Computational AspectsPart II. Algorithms and ApplicationsChapter 6. Multilinear Principal Component AnalysisChapter 7. Multilinear Discriminant AnalysisChapter 8. Multilinear ICA, CCA, and PLSChapter 9. Applications of Multilinear Subspace LearningAppendix A. Mathematical BackgroundAppendix B. Data and PreprocessingAppendix C. SoftwareBibliographyIndex
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