ClassiΓΏers based on neighbourhood concept require a high computational cost when the Reference Patterns Set is large. In this paper, we propose the use of hierarchical classiΓΏers to reduce this computational cost, maintaining the hit rate in the recognition of handwritten digits. The hierarchical cl
β¦ LIBER β¦
Structure adaptation of hierarchical knowledge-based classifiers
β Scribed by Waratt Rattasiri; Saman K. Halgamuge; Nalin Wickramarachchi
- Book ID
- 106175459
- Publisher
- Springer-Verlag
- Year
- 2008
- Tongue
- English
- Weight
- 437 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0941-0643
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