In classification tasks it may be wise to combine observations from different sources. In this paper, to obtain classification systems with both good generalization performance and efficiency in space and time, a learning vector quantization learning method based on combinations of weak classifiers
β¦ LIBER β¦
Combined Classifiers for Invariant Face Recognition
β Scribed by A.S. Tolba; A.N. Abu-Rezq
- Book ID
- 106256554
- Publisher
- Springer-Verlag
- Year
- 2000
- Tongue
- English
- Weight
- 596 KB
- Volume
- 3
- Category
- Article
- ISSN
- 1433-7541
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