Searched for: subject:"semantics"
(1 - 20 of 47)

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Lengyel, Attila (author)
This work investigates how prior knowledge from physics-based reflection models can be used to improve the performance of semantic segmentation models under an illumination-based domain shift. We implement various color invariants as a preprocessing step and find that CNNs trained on these color invariants get stuck in worse local minima...
master thesis 2019
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Zhou, Zequn (author)
Urban areas are rapidly expanding in developing countries. One of goals of the United Nations Human Settlement Programme (UN-Habitat) is to understand and guide urban development for some developing regions.
Currently, the approaches that UN-Habitat is using cost plenty of workforce, material, and time. Therefore, UN-Habitat is interested in...
master thesis 2019
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Ai, Zhiwei (author)
Deep learning methods have been demonstrated to be promising in semantic segmentation of point clouds. Existing works focus on extracting informative local features based on individual points and their local neighborhood. They lack consideration of the general structures and latent contextual relations of underlying shapes among points. To this...
master thesis 2019
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Ruben, Pablo (author)
Recently, the application of machine learning and data fusion techniques on hyperspectral imagery have demonstrated potential for ground cover classification at material level. Hereby, specific locations of resources enclosed in cities (e.g. roof materials) can be identified, which is critically relevant within the field of urban mining. A...
master thesis 2019
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Theocharous, Vangelis (author)
The promotion of the data re-usability was the main motivation behind the conception of linked data. Spatial data can also be expressed as linked data. This thesis explores different approaches to utilize spatial data in linked data format, in order to determine if the technologies have matured enough to assist solving spatial problems. More...
master thesis 2019
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Brand, Patrick (author)
Recent advances in Artificial Intelligence and Computer Vision have been showed to be promising for automated land use classification of remotely sensed data. However, current state-of-the-art per-pixel segmentation networks fail to accurately capture geometrical and topological properties on land use segmentation, as these methods have...
master thesis 2019
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van Ramshorst, Arjan (author)
Knowledge on adversaries during military missions at sea heavily influences decision making, making identification of unknown vessels an important task. Identification of surrounding vessels based on visual data offers an alternative to AIS information (Automatic Identification System), the current standard in vessel identification, which can be...
master thesis 2018
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van der Vlugt, Yanna (author)
Over the past three decades, the singular value decomposition has been increasingly used for various big data applications. As it allows for rank reduction of the input data matrix, it is not only able to compress the information contained, but can even reveal underlying patterns in the data through feature identification. This thesis explores...
bachelor thesis 2018
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Steensma, Bart (author)
Fouling (algae, slime, and barnacles) on the hull of large cargo vessels is undesirable because it increases their frictional drag, resulting in an increased fuel consumption. As a solution, Fleet Cleaner introduced a ship hull cleaning robot that maneuvers on the hull, using powered wheels and magnets. The robot is controlled by a human...
master thesis 2018
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Kolenbrander, Thomas (author), van Oort, Bart (author), de Ruiter, Frank (author), Yue, Tim (author)
This report describes the process of the Bachelorproject(TI3806) done for ‘De Energiebespaarders’, a startup in Amsterdam striving to make homes more energy efficient through accessible advice and installation of insulation or solar panels. The goal of the project was to apply machine learning to improve their system for identifying house...
bachelor thesis 2017
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Szabo, K.M. (author)
Joining multiple ontologies with the purpose of connecting existing knowledge can be done with the help of ontology matching tools. Part of this process involves establishing links between instances of classes from the paired ontologies. This process, referred to as instance matching, is done by algorithms that automatically generate the links...
master thesis 2017
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Kastelijns, M. (author)
Sensor data plays a significant role in our life. Sensors are devices that can sense our environment. This sensor data is part of the Sensor Web and needs a vast data infrastructure design, because many organisations are involved, the abundance of different sensors and because of the big volume of data and near-real time data. The extent to...
master thesis 2016
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De Liefde, I. (author)
Developments such as smart cities, the Internet of Things (IoT) and the Infrastructure for Spatial Information in Europe (INSPIRE) are causing a growing amount of observation data to be produced. The Open Geospatial Consortium (OGC) has developed Sensor Web Enablement (SWE) standards for modelling and publishing this data online. However, their...
master thesis 2016
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Fichtner, F.W. (author)
Acquiring point clouds of indoor environments became increasingly accessible in recent years. However, the resulting 3D point cloud data is unstructured, and does not contain enough information to be useful for complex tasks like pathfinding. Indoor models which are currently derived from point clouds do not include furniture and stairs. The...
master thesis 2016
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Nagelkerke, T. (author)
Navigating to a human target is underexposed in the current literature. However, there are cases where it is necessary to get to the moving target as fast as possible. This thesis supports navigation of a person to another person in motion that they lost or need. In this way, children, elderly, family, coworkers and friends could be found more...
master thesis 2016
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Smits, J. (author)
Green-Marl is a domain specific language for efficient graph analysis. In this thesis, we define the formal static semantics of the language and provide an implementation in the Spoofax language workbench. The type system of Green-Marl includes limited forms of name-dependent types, overloading, parametric polymorphism, and inference. We give a...
master thesis 2016
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Abhilakh Missier, G.M. (author)
Governments and municipalities open up their data and publish spatial data on the Web, to be transparent to their citizens and to stimulate innovation. This spatial open data can be confusing for non-GIS experts, since data is published as either typical geo-formats or metadata is missing. Linked data could benefit in that regard. Linked data is...
master thesis 2015
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Nooij, S.A. (author)
Industrial Symbiosis (IS) in an inter-firm collaboration that delivers both economic and environmental benefits. IS can occur when there are local opportunities for the exchange of an underutilized resource, this means that the exchanged resource is often not a standard product. A non-standard product requires technical expertise and investments...
master thesis 2014
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Ercan, S. (author), Harel, R. (author), Peperkamp, J.B. (author), Yilmaz, U. (author)
In this project we have set out to promote behavioral-realism in non-player characters (NPCs) on an emotional level. We do this as a step towards a tool that will allow developers to build ?exible and scalable emotional behavior for NPCs and that could be used either in game-development applications or scienti?c psychological studies. In order...
bachelor thesis 2014
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Bijl, B. (author)
In this thesis a closed RDF data production platform is presented that is highly configurable. The use of Named Graphs supports a modularized ontology and a detailed provenance of the multi-user knowledge data. It is designed and configured for the Systems Engineering context of ship building industry partnership Integraal Samenwerken. The...
master thesis 2014
Searched for: subject:"semantics"
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