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Helsloot, L.J. (author)Online advertising is a multi-billion dollar industry, forming one of the primary sources of income for many publishers that offer free web content. Online Behavioural Advertising (OBA), the practice of showing advertisements based on individual users' web browsing behaviours, greatly improves the expected effectiveness of advertisements, and is...master thesis 2017
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Teng, E. (author)A road network is one of the core elements of urban environments, strongly defining their layout. Procedural modeling has been increasingly used to create such road networks. However, many procedural methods are complex and difficult to master by non-experts, often have a limited and hard-to-control expressive range, and require a variety of...master thesis 2017
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Mouzos, L. (author)In recent years, cheap sequencing has resulted in hundreds or thousands of individual genomes available for many species. Therefore, it is logical to rethink the concept of the reference genome; as consisting of a population of genomes rather than being a single one. The term pan-genome describes a population of genomes of the same species or a...master thesis 2017
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den Boer, C.S. (author)There are many types of sequences on which classification algorithms are applied. Sequences of symbols with information on the relation between every two direct successors (referred to as link information) is one of these. A common approach for classification of such sequences is to only consider the symbols and disregard the link information....master thesis 2017
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Wieman, R. (author)Analyzing large numbers of log entries can be challenging, especially when there are many short log entries that each describe only one execution of the system, either successful or unsuccessful. How can one determine whether the system is working correctly, based on these logs? The logs that are of interest (e.g., log entries pointing towards...master thesis 2017
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Bos, S. (author)This thesis describes how multimodal sensor data from a 3D sensor and microphone array can be processed with deep neural networks such that its fusion, the trained neural network, is a) more robust to noise, b) outperforms unimodal recognition and c) enhances unimodal recognition in absence of multimodal data. We built a framework for a complete...master thesis 2017
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Boon, K. (author)In this thesis I develop a Machine Learning method to combine galactic redshift estimates of previous authors into an aggregate estimate. I investigate weather combining earlier results into a single estimate is a worthwhile effort. Disagreement between the earlier results is used as a metric the quality of estimation. This disagreement is...master thesis 2017
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Shen, S. (author)We present a novel pipeline to generate a depth map from a single image that can be used as input for a variety of artistic depth-based effects. In such a context, the depth maps do not have to be perfect, but are rather designed with respect to wanted result. Consequently, our solution centers around user interaction and relies on a scribble...master thesis 2017
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Beker, B. (author), Brugsma, R. (author), Offerijns, J.F. (author)Recommendation systems are algorithms that aim to predict what items are preferred by a user, based on a recorded history of user activity. Magnet.me is a company which recommends companies and opportunities to students. Potential algorithms for recommendation systems are memory-based and model-based coll aborative filtering, graph- based...bachelor thesis 2017
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- Luktuke, Y.Y. (author) master thesis 2017
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Szöllősi-Nagy, B. (author)The aim of this thesis is to provide a robust and globally optimal method for rigid point set registration in the presence of outliers and structured noise. The registration of 2D or 3D point sets is a common problem in computer vision [9], with applications that include aligning MRI/CT scans, and simultaneous localization and mapping (SLAM) in...master thesis 2017
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Pals, T.E. (author)This paper evaluates a method that improves segmentation e ciency by intelligently suggesting planes where correction is most valuable. An existing method is extended to work for segmentation of multiple bones simultaneously. This method is evaluated because in clinical practice it is often necessary that scans are segmented very accurate. When...master thesis 2017
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- Liu, X. (author) master thesis 2016
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- van Rijs, A.T. (author) master thesis 2016
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- Liu, X. (author) master thesis 2016
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Verweijen, L.F. (author)Many engineering problems require some objective to be optimized subject to certain constraints. For linear and convex optimization problems, techniques exist that can find the global minimum. For problems that have local minima or complex constraints, finding the global minimum is more difficult. An example of such a problem can be found in...master thesis 2016
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- Zhang, Y. (author) master thesis 2016
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van den Heuvel, J.T.A. (author)With the constantly expanding 3D virtual game worlds and the upcoming virtual reality era, the need for 3D models is bigger than ever. However, it looks like the actual 3D modelling scene cannot keep up with the growth of the 3D game worlds. One major difference between the real world and its virtual counterpart is the simplicity and lack of...master thesis 2016
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Huang, Y. (author)XING is a leading career-oriented social networking site in Europe, which usually recommend job ads to their customers. One of the widely used methods in Recomender Systems is content-based filtering, which analyzes the description of item characteristics and the user profile illustrating user's preferences. Due to the sparsity of its dataset, i...master thesis 2016
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Ai, H. (author)In mass storage systems or certain transmission channels, such as optical data storage and non-volatile memory (flash), noise or interference is not the only disturbance during the data transmission, the error performance sometimes can be seriously degraded by the phenomena of unknown channel offset (drift) or gain mismatch, this is because the...master thesis 2016