Searched for: contributor%3A%22van+Gemert%2C+J.C.+%28promotor%29%22
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Li, Y. (author)
Improving the efficiency in deploying deep neural networks (DNNs) and processing complex high-dimensional data has drawn increasing attention in recent years. Yet, the deployment of large DNN models is challenged by the high computational complexity and energy consumption, making it difficult to run on resource-constrained devices such as mobile...
doctoral thesis 2024
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Liu, X. (author)
Deep learning is the core algorithmic tool for automatically processing large amounts of data. Deep learning models are defined as a stack of functions (called layers) with millions of parameters, that are updated during training by fitting them to data. Deep learning models have show remarkable accuracy gains on visual problems in video and...
doctoral thesis 2024
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Lengyel, A. (author)
Computer vision algorithms are getting more advanced by the day and slowly approach human-like capabilities, such as detecting objects in cluttered scenes and recognizing facial expressions. Yet, computers learn to perform these tasks very differently from humans. Where humans can generalize between different lighting conditions or geometric...
doctoral thesis 2024
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Wang, Z. (author)
Machine learning aims to solve a task with a certain algorithm or statistical model that is trained on data, with or without labels. As a subcategory of machine learning, deep learning achieves good performance with its flexibility on end-to-end representation learning and architecture design. Despite the successes of deep learning, the output...
doctoral thesis 2024
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