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• W1964821300 abstract "We investigate the use of structure learning in Bayesian networks for a complex multimodal task of action detection in soccer videos. We illustrate that classical score-oriented structure learning algorithms, such as the K2 one whose usefulness has been demonstrated on simple tasks, fail in providing a good network structure for classification tasks where many correlated observed variables are necessary to make a decision. We then compare several structure learning objective functions, which aim at finding out the structure that yields the best classification results, extending existing solutions in the literature. Experimental results on a comprehensive data set of 7 videos show that a discriminative objective function based on conditional likelihood yields the best results, while augmented approaches offer a good compromise between learning speed and classification accuracy." @default.
• W1964821300 created "2016-06-24" @default.
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• W1964821300 date "2012-07-12" @default.
• W1964821300 modified "2023-09-25" @default.
• W1964821300 title "Classification-oriented structure learning in Bayesian networks for multimodal event detection in videos" @default.
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• W1964821300 doi "https://doi.org/10.1007/s11042-012-1169-y" @default.
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