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Zhang, X. (author), Ai, T. (author), Stoter, J.E. (author)
Building patterns are important features in applications like automated generalization and spatial data mining. Many previous work has however focused on a few specific patterns (i.e. collinear pattern), while many others are less discussed. This paper proposes a comprehensive typology of available building patterns through the study of existing...
conference paper
document
Loog, M. (author)
A rather simple semi-supervised version of the equally simple nearest mean classifier is presented. However simple, the proposed approach is of practical interest as the nearest mean classifier remains a relevant tool in biomedical applications or other areas dealing with relatively high-dimensional feature spaces or small sample sizes. More...
conference paper 2011
document
Van Engelen, A. (author), De Bruijne, M. (author), Klein, S. (author), Verhagen, H. (author), Groen, H. (author), Wentzel, J. (author), Van der Ligt, A. (author), Niessen, W. (author)
Automatic quantification of carotid artery plaque composition is important in the development of methods that distinguish vulnerable from stable plaques. MRI has shown to be capable of imaging different components noninvasively. We present a new plaque classification method which uses 3D registration of histology data with ex vivo MRI data,...
conference paper 2011
document
Karavides, T. (author), Leung, K.Y.E. (author), Paclik, P. (author), Hendriks, E. (author), Bosch, J.G. (author)
conference paper 2010
document
Guédon, A.C.P. (author), Paalvast, M. (author), Meeuwsen, F.C. (author), Tax, D.M.J. (author), van Dijke, A.P. (author), Wauben, L.S.G.L. (author), Van Der Elst, M. (author), Dankelman, J. (author), van den Dobbelsteen, J.J. (author)
Efficiency in the Operating Room (OR) is a topic of growing interest. Planning of care is a crucial element to ensure optimal use of the ORs. Currently, OR scheduling is considered as a complex task based on predictions of surgery duration. The latter are often based on average times, but turn out to be inaccurate in practice because of...
conference paper 2015
document
van Bergen, Thibaut (author), Ishiyama, Rui (author), Makino, Kengo (author), Kudo, Yuta (author), Takahashi, Toru (author), Goosen, J.F.L. (author)
This paper presents a novel framework and its prototype tool for indexing and retrieving specific fragments of voice recordings obtained during discussions about physical objects such as text documents, pictures, or 3D models. When a specific part of an object is mentioned, it is tagged with an ink dot that is immediately registered in a...
conference paper 2019
document
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
document
Klijn, C.N. (author)
Cancer is a genetic disease. Step-wise alteration of genes that have a normal function in the cell can lead to the transformation of a healthy cell into a malignant cancer cell. Cancer genes provide several traits to the cell that allow it to become malignant. These traits have been researched for many years, and currently one knows quite well...
doctoral thesis 2011
document
Li, Y. (author)
Scale is an important parameter of images. Different objects or image structures (e.g. edges and corners) can appear at different scales and each is meaningful only over a limited range of scales. Multi-scale analysis has been widely used in image processing and computer vision, serving as the basis for many high-level image analysis systems....
doctoral thesis 2013
document
Bouarfa, L. (author)
In the Netherlands, each year over 1700 patients die from preventable surgical errors. Numerous initiatives to improve surgical practice have had some impact, but problems persist. Despite the introduction of checklists and protocols, patient safety in surgery remains a continuing challenge. This is complicated by some surgeons viewing their own...
doctoral thesis 2012
document
Loke, R.E. (author)
This thesis describes a visualization pipeline for sonar profiling data that show reflections of multiple sediments in the sea bottom and that cover huge survey areas with many gaps. Visualizing such data is not trivial, because they may be noisy and because data sets may be very large. The developed techniques are: (1) Quadtree interpolation...
doctoral thesis 2006
document
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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Van den Eijkel, G.C. (author)
doctoral thesis 1999
document
Geerlings, A.C. (author)
doctoral thesis 1990
document
Abdul Madhar, S. (author)
The electricity grid spanning hundreds of thousands of kms is one of the most complex man-made network built in human history. Today, after a century of growth, progress and innovation, the electricity grid is in the process of undergoing another landmark shift in its operation. The introduction of renewable energy sources, especially, offshore...
doctoral thesis 2021
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Krishnakumari, P.K. (author)
Cities are complex, dynamic and ever-evolving. We need to understand how these cities work in order to predict, control or optimize their operations. We have identified some open issues related to network and data complexity that need to be solved to build feasible methods for these purposes. To this end, we first build multiscale graphs...
doctoral thesis 2020
document
Landgrebe, T.C.W. (author), Duin, R.P.W. (author)
Receiver operator characteristic (ROC) analysis has become a standard tool in the design and evaluation of two-class classification problems. It allows for an analysis that incorporates all possible priors, costs, and operating points, which is important in many real problems, where conditions are often nonideal. Extending this to the multiclass...
journal article 2008
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Young, I.T. (author), Verbeek, P.W. (author), Mayall, B.H. (author)
journal article 1986
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Van Ravesteijn, V.F. (author), Van Wijk, C. (author), Vos, F.M. (author), Truyen, R. (author), Peters, J.F. (author), Stoker, J. (author), Van Vliet, L.J. (author)
We present a computer-aided detection (CAD) system for computed tomography colonography that orders the polyps according to clinical relevance. TheCADsystem consists of two steps: candidate detection and supervised classification. The characteristics of the detection step lead to specific choices for the classification system. The candidates are...
journal article 2010
document
Liu, Jing (author), Zheng, Fangfang (author), van Zuylen, H.J. (author), Li, Jie (author)
OD flows provide important information for traffic management and planning. The prediction of dynamic OD matrices gives the possibility to apply anticipatory traffic management measures. In this paper, we propose an OD prediction approach based on the data obtained by Automated Number Plate Recognition (ANPR) cameras. The principal component...
journal article 2020
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