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Deep supervised hashing for fast retrieval of radio image cubes
In this work, we utilize deep hashing to rapidly search for similar images in a large database.
Advances on the classification of radio image cubes
Nonetheless, this is only plausible with the exploitation of intensive machine intelligence to complement human-aided and traditional statistical techniques.
To remove or not remove Mobile Apps? A data-driven predictive model approach
In turn, our approach can support developers in improving their apps and users in downloading the ones that are less likely to be removed.
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise
One of the challenging problems in digital image forensics is the capability to identify images that are captured by the same camera device.
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