Searched for: subject:"classification"
(1 - 20 of 93)

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Kouw, W.M. (author)
Artificial intelligence, and in particular machine learning, is concerned with teaching computer systems to perform tasks. Tasks such as autonomous driving, recognizing tumors in medical images, or detecting suspicious packages in airports. Such systems learn by observing examples, i.e. data, and forming a mathematical description of what types...
doctoral thesis 2018
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Wang, J. (author), Lindenbergh, R.C. (author)

Urban trees are an important component of our environment and ecosystem. Trees are able to combat climate change, clean the air and cool the streets and city. Tree inventory and monitoring are of great interest for biomass estimation and change monitoring. Conventionally, parameters of trees are manually measured and documented in situ, which...

journal article 2018
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Hermidas, N. (author), Eggenhuisen, Joris T. (author), Jacinto, Ricardo Silva (author), Luthi, S.M. (author), Toth, Ferenc (author), Pohl, Florian (author)

This study presents a classification for subaqueous clay-laden sediment gravity flows. A series of laboratory flume experiments were performed using 9%, 15%, and 21% sediment mixture concentrations composed of sand, silt, clay, and tap water, on varying bed slopes of 6°, 8°, and 9.5°, and with discharge rates of 10 and 15 m3/hr. In...

journal article 2018
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Peters, R.Y. (author)
A geographical point cloud is a detailed three-dimensional representation of the geometry of our geographic environment.
Using geographical point cloud modelling, we are able to extract valuable information from geographical point clouds that can be used for applications in asset management, crisis management, city and landscape planning,...
doctoral thesis 2018
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Donchyts, G. (author)
This thesis studies automated methods of surface water detection from satellite imagery. Multiple existing methods are explored, discussed, and some new algorithms are introduced to allowvery accurate detection of surface water and surfacewater changes. Themethods range in applicability from the local level to global, and from detecting high...
doctoral thesis 2018
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Pei, W. (author), Dibeklioglu, H. (author), Tax, D.M.J. (author), van der Maaten, L.J.P. (author)
We present a new model for multivariate time-series classification, called the hidden-unit logistic model (HULM), that uses binary stochastic hidden units to model latent structure in the data. The hidden units are connected in a chain structure that models temporal dependencies in the data. Compared with the prior models for time-series...
journal article 2018
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Zheng, M. (author), Lemmens, M.J.P.M. (author), van Oosterom, P.J.M. (author)

This paper presents our work on automated classification of Mobile Laser Scanning (MLS) point clouds of urban scenes with features derived from cylinders around points of consideration. The core of our method consists of spanning up a cylinder around points and deriving features, such as reflectance, height difference, from the points present...

conference paper 2018
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van Hooijdonk, I.G.S. (author), Clercx, Herman J.H. (author), Abraham, Carsten (author), Holdsworth, Amber M. (author), Monahan, Adam H. (author), Vignon, Etienne (author), Moene, Arnold F. (author), Baas, P. (author), van de Wiel, B.J.H. (author)

This study aims to find the typical growth rate of the temperature inversion during the onset of the stable boundary layer around sunset.The sunset transition is a very challenging period for numerical weather prediction, since neither accepted theories for the convective boundary layer nor those for the stable boundary layer appear to be...

journal article 2017
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Moreira Matias, L.A. (author), Farah, H. (author)

Recently, cutting edge technologies to facilitate data collection have emerged on a large scale. One of the most prominent is the in-vehicle data recorder (IVDR). There are multiple ways to assign the IVDR's data to the different drivers who share the same vehicle. Irrespective of the level of sophistication, all of these technologies still...

journal article 2017
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Krijthe, J.H. (author), Loog, M. (author)

For semi-supervised techniques to be applied safely in practice we at least want methods to outperform their supervised counterparts. We study this question for classification using the well-known quadratic surrogate loss function. Unlike other approaches to semi-supervised learning, the procedure proposed in this work does not rely on...

journal article 2017
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Scholtissek, Anika (author), Tischler, D (author), Westphal, AH (author), van Berkel, WJH (author), Paul, C.E. (author)
Asymmetric hydrogenation of activated alkenes catalysed by ene-reductases from the old yellow enzyme family (OYEs) leading to chiral products is of potential interest for industrial processes. OYEs’ dependency on the pyridine nucleotide coenzyme can be circumvented through established artificial hydride donors such as nicotinamide coenzyme...
journal article 2017
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Sun, Zhuo (author), van de Giessen, M. (author), Lelieveldt, B.P.F. (author), Staring, M. (author)

Mild Cognitive Impairment (MCI) is an intermediate stage between healthy and Alzheimer’s disease (AD). To enable early intervention it is important to identify the MCI subjects that will convert to AD in an early stage. In this paper, we provide a new method to distinguish between MCI patients that either convert to Alzheimer’s Disease (MCIc)...

journal article 2017
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Rajabzadehdizaji, Aydin (author), Hendriks, R.C. (author), Heusdens, R. (author), Groves, R.M. (author)

This paper describes a new method for the classification and identification of two major types of defects in composites, namely delamination and matrix cracks, by classification of the spectral features of fibre Bragg grating (FBG) signals. In aeronautical applications of composites, after a damage is detected, it is very useful to know the...

conference paper 2017
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van der Walle, P (author), Van Der Donck, J. C.J. (author), Mulckhuyse, W (author), Nijsten, L. (author), Bernal Arango, F.A. (author), De Jong, A. (author), Van Zeijl, E. (author), Spruit, H. E.T. (author), van den Berg, J.H. (author), Nanda, G. (author), van Langen-Suurling, A.K. (author), Alkemade, P.F.A. (author), Pereira, S.F. (author), Maas, D.J. (author)

Particle defects are important contributors to yield loss in semi-conductor manufacturing. Particles need to be detected and characterized in order to determine and eliminate their root cause. We have conceived a process flow for advanced defect classification (ADC) that distinguishes three consecutive steps; detection, review and...

conference paper 2017
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Haji Mohammadloo, T. (author), Tengku Ali, T.A. (author), Snellen, M. (author), Koop, L. (author), Gaida, T.C. (author), Simons, D.G. (author)
Knowing the morphology and sediment composition of the seabed is of high importance for various applications. In this contribution, the repeatability of acoustic seafloor classification (ASC) results obtained from MBES backscatter value is investigated. The unsupervised classification algorithm based on Principal Component Analysis has been...
conference paper 2017
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Zheng, M. (author), Lemmens, M.J.P.M. (author), van Oosterom, P.J.M. (author)
This paper focusses on the feasibility of classifiers, developed for classifying multispectral images, for assigning classes to point clouds of urban scenes. The motivation of our research is that dense point clouds require fast classification methods to extract meaningful information within a reasonable amount of time and multispectral...
conference paper 2017
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Zheng, M. (author), Lemmens, M.J.P.M. (author), van Oosterom, P.J.M. (author)

The demand for 3D maps of cities and road networks is steadily growing and mobile laser scanning (MLS) systems are often the preferred geo-data acquisition method for capturing such scenes. Because MLS systems are mounted on cars or vans they can acquire billions of points of road scenes within a few hours of survey. Manual processing of...

conference paper 2017
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Jain, Mihir (author), van Gemert, J.C. (author), Jégou, Hervé (author), Bouthemy, Patrick (author), Snoek, Cees G.M. (author)

This paper considers the problem of localizing actions in videos as sequences of bounding boxes. The objective is to generate action proposals that are likely to include the action of interest, ideally achieving high recall with few proposals. Our contributions are threefold. First, inspired by selective search for object proposals, we...

journal article 2017
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Berghauser Pont, M.Y. (author), Stavroulaki, G. (author), Lopes Gil, J.A. (author), Marcus, L. (author), Serra, M (author), Hausleitner, B. (author), Olsson, J. (author), Abshirini, E. (author), Dhanani, A. (author)

It has been argued that different urban configurations-planned vs. organic, treelike vs. grid like-perform differently when it comes to the intensity and distribution of pedestrian flows, built density and land uses. However, definitions of urban configurations are often rather abstract, ill-defined and at worse end in fixed stereotypes...

conference paper 2017
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Zheng, Fangfang (author), Li, Jie (author), van Zuylen, H.J. (author), Lu, Chao (author)

Fuel consumption and atmospheric pollution emissions of vehicles depend on driving conditions, the characteristics of the driver and the car. The influence of driving style on the environmental aspects of a car journey has been investigated. Driver characteristics were determined by a Driver Behaviour Questionnaire and observed acceleration...

journal article 2017
Searched for: subject:"classification"
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