Search for dissertations about: "Transfer Learning"
Showing result 11 - 15 of 182 swedish dissertations containing the words Transfer Learning.
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11. Learning and Returning : Return Migration of Swedish Engineers from the United States, 1880-1940
Abstract : This thesis examines different aspects of international migration and return migration among Swedish engineers – particularly to and from the United States between 1880 and 1940. The social, geographical, and educational backgrounds of these engineers and their role in diffusing technological knowledge in Sweden in addition to being a possible source of technical development during the country’s second industrial breakthrough is of particular interest. READ MORE
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12. Self-supervised Representation Learning for Visual Domains Beyond Natural Scenes
Abstract : This thesis investigates the possibility of efficiently adapting self-supervised representation learning on visual domains beyond natural scenes, e.g., medical imagining and non-RGB sensory images. READ MORE
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13. Data-Driven Techniques for Fluid Mechanics and Heat Transfer
Abstract : One of the main challenges in fluid mechanics and heat transfer is the need for detailed studies andfast computational speed to monitor and optimise a system. These fluid/heat flows comprise time-dependent velocity, multi-scale, pressure, and energy fluctuations. READ MORE
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14. Towards Better Representation Learning in the Absence of Sufficient Supervision
Abstract : We focus on the problem of learning representations from data in the situation where we do not have access to sufficient supervision such as labels or feature values. This situation can be present in many real-world machine learning tasks. We approach this problem from different perspectives summarized as follows. READ MORE
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15. Imaging imagining actions
Abstract : Mental training has been studied extensively for the past century but we are still not completely sure how it affects brain and behavior. The aim of this doctoral thesis was to examine one aspect of mental training i.e. motor imagery. READ MORE