Tag Archives: Bag-of-VisualWords

Your PLOS ONE Article is in the Top 25% Most Cited

The research paper entitled “Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images” is among the top 25% most cited articles at PLOS ONE journal. This article inaugurates RECOD’s policy on improving the reproducibility of our published results, by making … Continue reading

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Temporal robust features for violence detection

Automatically detecting violence in videos is paramount for enforcing the law and providing the society with better policies for safer public places. In addition, it may be essential for protecting minors from accessing inappropriate contents on-line, and for helping parents … Continue reading

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