In addition, the automatic labeling is utilized for access control and corporate content management of recorded images. The method operates by causing a computer to monitor a sharing event, and when a sharing event has been detected, causing the computer to overlay at least one of a pre-stored...
The host computer must meet the following hardware requirements: Expand table ContainerMinimumRecommended Sample Labeling tool 2 core, 4-GB memory 4 core, 8-GB memory Install Docker on your machine by following the appropriate instructions for your operating system: Windows macOS Linux Get the Samp...
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This point-wise repetition measure naturally handles imperfect repetitions, and the parts with inconsistent appearances are recognized and assigned with low scores. An energy functional is proposed to include the point-wise repetition into the image segmentation process, which takes the form of a graph...
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To this end, multi-label learning (MLL) [1], [2], [30], [31] has been used for dealing with the case where one instance relates to more than one label, which is used to learn a multi-label classifier and map the instance to the set of the related labels [1], [2], [3]. ...
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Multilabel classification (MLC) is a machine learning task where the goal is to learn to label an example with multiple labels simultaneously. It receives increasing interest from the machine learning community, as evidenced by the increasing number of papers and methods that appear in the literatur...