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- W2798646168 abstract "The paper investigates the use of compressively sensed images in interactive image classification. To speed-up the classification process and avoid costly reconstruction, we consider the use of a feed-forward neural network in a reduced complexity image domain. The interactive image and video classification systems have been used for real-time demonstrations that have been effectively utilized in outreach activities for attracting middle-school students to STEM." @default.
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- W2798646168 date "2017-10-01" @default.
- W2798646168 modified "2023-09-23" @default.
- W2798646168 title "Interactive image and video classification using compressively sensed images" @default.
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- W2798646168 doi "https://doi.org/10.1109/acssc.2017.8335726" @default.
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