Searched for: contributor%3A%22van+Gemert%2C+Jan+%28graduation+committee%29%22
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Reichert, Gijs (author)
Nowadays video plays an important role in the coaching of athletes across many different sports. To make more use of the advantages videos can provide for coaching, the Dutch Sailing team is shifting from manually recording short videos towards continuously recording training sessions. This new recording approach provides opportunities and...
master thesis 2020
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SHI, XIAOTONG (author)
In the ASML test system, all activity events of the test are continuously recorded in event logs, and these logs are intended to help people diagnose the root cause of a failure. However, due to the large scale of the logs, manual inspection of these logs consumes lots of effort and time, and the lack of expert knowledge of engineers makes the...
master thesis 2019
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Zhong, Shijian (author)
The Train Maintenance Scheduling Problem (TMSP) is a real-world problem that aims at complete maintenance tasks of trains by scheduling their activities on a service site. Common methods of constructing optimal solutions to this problem are difficult as the problem consists of several highly-related sub-problems. Currently, NS is using a lo- cal...
master thesis 2018
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Radja, Priyanka (author)
In the field of Information Retrieval (IR), rankings of systems evaluated under different conditions are often compared to each other. This measure of correspondence between rankings, termed as rank correlation, must accurately capture the scenario for which the correlation is computed. Very often, these rankings may have tied systems, for which...
master thesis 2018
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Lopes Cunha, Max (author)
<br/>This study focuses on the question how the bandwidth utilization of a high-quality video-stream from the Exposure Rendering framework can be minimized. Exposure Render uses a Monte-Carlo based rendering system to render volumetric data. The earliest estimation of lighting show high degrees of noise, leading to grainy images before...
bachelor thesis 2018
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Tetteroo, Jonathan (author)
As machine learning algorithms play an ever increasing role in today's technology, more demands are placed on computational hardware to run these algorithms efficiently. In recent years, Convolutional Neural Networks (CNNs) have become an important part of machine learning applications in areas such as object recognition and detection. In this...
master thesis 2018
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Ji, Yuanbo (author)
Segmentation of medical images is always a challenge due to complicated anatomical structures and poor image quality. In this paper, aiming to solve dual surfaces segmentation problems, we propose a two-layer levelset method with an efficient distance constraint. With the distance constraint, physical information of wall thickness can be imposed...
master thesis 2017
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Chandrasekharan Nair, Sreejith (author)
Speech is a natural way of communicating that does not require us to develop any new skills in order to be able to interact with electronic devices. With the evolution of technology, speech has become one of the primary means of communication. Speech recognition is a form of multimedia content analysis, where the information carried in a speech...
master thesis 2017
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