Searching for "Solving the Small Sample Size Problem of LDA." – sorted by Relevance.
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Solving the Small Sample Size Problem of LDA
- Solving the Small Sample Size Problem of LDA Rui Huang, Qingshan Liu, Hanqing Lu, Songde Ma
- Cited by 13 (0 self) – Add To MetaCart
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Robust and accurate cancer classification with gene expression profiling
- solves the small sample size problem. To accommodate the high dimensionality of scatter matrices, a fast
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Face Recognition using Local Features basedon Two-layer BlockModel W onjun Hwang 1
- information.Flocks oflocal features can easily solve the small sample size problem in LDA without discarding
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Originality and Contribution
- ). It is worth noting that other regularisation techniques have been proposed for solving the small sample size
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comparative study in small sample size problem
- [7, 8] aims at solving the small sample size (SSS) problem in Linear Discriminant Analysis (LDA) [4
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