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Automatic problem-specific hyperparameter optimization and model selection for supervised machine learning: Technical Report
(2015)The use of machine learning techniques has become increasingly widespread in commercial applications and academic research. Machine learning algorithms learn a model from data that allows computers to make and improve predictions or behaviors. Despite their popularity and usefulness, most machine learning techniques require expert knowledge to guide the decisions about the most appropriate model and settings for a particular problem. In ...Report -
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Advanced Tools and Framework for Digital Film Restoration
(2015)Digital restoration of film content that has historical value is crucial for the preservation of cultural heritage. Also, digital restoration is not only a relevant application area of various video processing technologies that have been developed in computer graphics literature, but also involves a multitude of unresolved research challenges. Currently, the digital restoration workflow is highly labor intensive and often heavily relies ...Report