We propose to combine short-term block-based fuzzy support vector machine (FSVM) learning and long-term dynamic semantic clustering (DSC) learning to bridge the semantic gap in content-based image retrieval. The short-term learning addresses the small sample problem by incorporating additional image
A novel fusion approach to content-based image retrieval
โ Scribed by Xiaojun Qi; Yutao Han
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 786 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
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