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Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection
The abnormal event detection problem is an important subject in real-time video surveillance. In this paper, we propose a novel online one-class classification algorithm, online least squares one-class support vector machine (online LS-OC-SVM), combined with its sparsified version (sparse online LS-...
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| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Molecular Diversity Preservation International (MDPI)
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3892866/ https://ncbi.nlm.nih.gov/pubmed/24351629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s131217130 |
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