Global ETD Search
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Showing 1 to 3 of 3 for “"Region Selection"”.
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Active Reinforcement Learning for the Semantic Segmentation of Images Captured by Mobile Sensors
… the use of a reinforced active learning as region selection method to reduce human labor while achieving competitive results. A Deep Query Network (DQN) is utilized to identify the best strategy to label the most informative regions of the image. A Mean Intersection over Union (MIoU) …
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Statistical Analysis of Structured High-dimensional Data
… including functional data with important local regions and network data with community structures. The first part of this dissertation concerns the detection of ``important'' regions in functional data. We propose a novel Bayesian approach that enables region selection in the functional data …
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Application of Multiple Kernel Learning on Brain Imaging for Mental Illness Characterization
… their analyses to sets of voxels within certain regions of interest (ROIs). While such approaches are able to solve the dimensionality problem, they do it at the expense of losing information from other potentially informative regions. Furthermore, these studies perform an interpretation of the …