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Stochastic Optimized Relevance Feedback Particle Swarm Optimization for Content Based Image Retrieval
One of the major challenges for the CBIR is to bridge the gap between low level features and high level semantics according to the need of the user. To overcome this gap, relevance feedback (RF) coupled with support vector machine (SVM) has been applied successfully. However, when the feedback sampl...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4121098/ https://ncbi.nlm.nih.gov/pubmed/25121136 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/752090 |
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