Building Constraints, Geometric Invariants and Interpretability in Deep Learning: Applications in Computational Imaging and Vision
abstract: Over the last decade, deep neural networks also known as deep learning, combined with large databases and specialized hardware for computation, have made major strides in important areas such as computer vision, computational imaging and natural language processing. However, such framework...
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Format: | Doctoral Thesis |
Language: | English |
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2019
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Online Access: | http://hdl.handle.net/2286/R.I.55542 |