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Unpaired Thermal to Visible Spectrum Transfer using Adversarial Training
When trained and evaluated on KAIST-MS dataset, our proposed methods was shown to produce significantly more realistic and sharp VIS images than the existing state-of-the-art supervised methods.
Classifying movie genres by analyzing text reviews
This paper proposes a method for classifying movie genres by only looking at text reviews.
Optimizing PID parameters with machine learning
This paper examines the Evolutionary programming (EP) method for optimizing PID parameters.
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