Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28promotor%29%22
(1 - 20 of 55)
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Huo, F. (author)In the last decade, computer vision has drawn more and more attention because of its potential applications in our daily lives, such as health care, education, safety, and training. However the high complexity of many of the vision-based approaches hinders their practical applications, especially in applications where immediate feedback is...doctoral thesis 2013
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Van den Berg, B.A. (author)The development of high-throughput measurement techniques resulted in rapidlyincreasing amounts of biological data, which made computational methodsessential for biological research. Hence, the field of bioinformatics emergedthat since plays an important role in storing, making accessible, integrating,and analysing different types of biological...doctoral thesis 2015
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Cardoso de Araujo, S.F. (author)Data integration is a broad area encompassing techniques to merge data between data sources. Although there are plenty of efficient and effective methods focusing on data integration over homogeneous data, where instances share the same schema and range of values, their applications over heterogeneous data are less clear. This thesis considers...doctoral thesis 2014
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Van Berlo, R.J.P. (author)Bioinformatics concerns itself with developing data-driven tools for extracting biological information from high-throughput datasets (e.g. gene expression data, protein interaction data). Until recently, most of these tools focus on analyzing a single source of data. However, all high-throughput measurements are noisy and incomplete. Therefore,...doctoral thesis 2010
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Hulsman, M. (author)Nowadays, with large amounts of data becoming available, solving biological quests is becoming more and more a data-driven activity. To support this, there is a need for tools that enable the integration of the many sources of data. This thesis presents several avenues that can be taken, showing how integration can support research in the life...doctoral thesis 2014
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Lichtenauer, J.F. (author)The fundamental objective of this Ph.D. thesis is to gain more insight into what is involved in the practical application of a computer vision system, when the conditions of use cannot be controlled completely. The basic assumption is that research on isolated aspects of computer vision often leads to `too' general solutions. That these...doctoral thesis 2009
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Plasencia Calaña, Y. (author)Automatic pattern classification for a given problem domain aims at assigning a class or category membership to a new unseen object from the same domain. This is performed in three main stages: data preprocessing, representation and classification. The data preprocessing highly depends on the data type (e.g. images, signals) which makes its...doctoral thesis 2015
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Babaei, S. (author)Cancer is a complex disease that results from alterations in genes that control the growth and division mechanisms of the cell. Identifying cancer-associated genes and pathways through which these genes influence cellular function is the key challenge in cancer re- search. This thesis proposes novel computational approaches that integrate data...doctoral thesis 2015
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Sontrop, H.M.J. (author)Microarrays offer biologists an exciting tool that allows the simultaneous assessment of gene expression levels for thousands of genes at once. At the time of their inception, microarrays were hailed as the new dawn in cancer biology and oncology practice with the hope that within a decade diseases like breast cancer would be solved. Various...doctoral thesis 2015
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Cheplygina, V. (author)Multiple instance learning (MIL) is an extension of supervised learning where the objects are represented by sets (bags) of feature vectors (instances) rather than individual feature vectors. For example, an image can be represented by a bag of instances, where each instance is a patch in that image. Only bag labels are given, however, the...doctoral thesis 2015
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Landgrebe, T.C.W. (author)In statistical pattern recognition, problems involve distinguishing of various concepts or classes, based on the development of classifiers/discriminators. These exploit discriminatory information existing in measurements originating from objects. A trained classifier results in a partitioning in measurement space, providing some separation...doctoral thesis 2007
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- Wang, J. (author) doctoral thesis 2008
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- Lai, C. (author) doctoral thesis 2008
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Clements, M. (author)On many websites users can personally contribute information, ranging from short text messages to photos and videos. Users can see the information contributed by others and respond to it. These social media actively engage their community in the structuring of the collection by making use of collaborative annotation methods. Next to an improved...doctoral thesis 2010
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Porro Munoz, D. (author)For many pattern recognition applications, objects are represented by high-dimensional feature vectors, as the result of measurements that are taken from them. Such is the case of spectral data, which is commonly represented by sampling, as a set of individual observations, ignoring the continuous nature of the original data. However, for a...doctoral thesis 2013
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Juszczak, P. (author)The thesis treats classification problems which are undersampled or where there exist an unbalance between classes in the sampling. The thesis is divided into three parts. The first two parts treat the problem of one-class classification. In the one-class classification problem, it is assumed that only examples of one of the classes, the target...doctoral thesis 2006
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Meuleman, W. (author)The work in this thesis is concerned with two very distinct biological fields. The first part pertains to the development of techniques to aid in the search for clinical biomarkers for use in the early detection of cancer. The second part aims to elucidate in what way a genome is organised in a cell nucleus and the functional consequences of...doctoral thesis 2012
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Knijnenburg, T.A. (author)Exactly how an organism adapts its transcriptional program in response to intra- and extracellular signals remains elusive. Development of computational approaches that use the large amounts of diverse intracellular data to unravel the cell's transcriptional program is one of today's main challenges in bioinformatics research. This thesis...doctoral thesis 2009
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Ten Holt, G.A. (author)Automatic sign language recognition is a relatively new field of research (since ca. 1990). Its objectives are to automatically analyze sign language utterances. There are several issues within the research area that merit investigation: how to capture the utterances (cameras, magnetic sensors, instrumented gloves), how to extract interesting...doctoral thesis 2010
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De Ridder, J. (author)Advances in the field of molecular biology have resulted in a decent understanding of the causes for and mechanisms through which healthy cells can develop into cancer cells. It is, for instance, well established that cancer is caused by mutation of so-called cancer genes. That said, current knowledge on exactly which genes can function as a...doctoral thesis 2011
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