Principal component analysis (PCA) is a popular tool in multivariate statistics and pattern recognition. Recently, some mixture models of local principal component analysis have attracted attention due to a number of bene"ts over global PCA. In this paper, we propose a mixture model by concurrently
β¦ LIBER β¦
Handwritten Digit Recognition by a Mixture of Local Principal Component Analysis
β Scribed by Bailing Zhang; Minyue Fu; Hong Yan
- Book ID
- 110278388
- Publisher
- Springer US
- Year
- 1998
- Tongue
- English
- Weight
- 517 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1370-4621
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