The Faculty of Mathematics and Natural Sciences: Search
Now showing items 21-30 of 55
Weakly and Semi Supervised Semantic Segmentation of RGB Images
(2021-01-11)
Teaching machines semantic scene understanding from RGB images received a lot of attention in recent years, since this ability is crucial for several applications like autonomous driving, robotics or video surveillance. ...
The perception of security in selected contexts
(2021-08-20)
The perception of security has a strong impact on a person's choice of and interaction with security technology, especially within the context of Usable Security and Privacy research. This thesis sheds light on how people ...
Efficient Capture of Multispectral Reflectance of Complex Surfaces
(2020-12-11)
The synthetic generation of photo-realistic images is a long-standing goal in the area of Computer Graphics.
The applications are numerous, including virtual prototyping, advertisement and visual effects in movies.
Since ......
Simulation of the Periodontal Ligament During the Initial Phase of Orthodontic Tooth Movement
(2020-09-22)
The present work is concerned with the simulation of the periodontal ligament response to force in the initial phase of orthodontic tooth movement. This is based on two previous investigations at the Universitätsklinikum ...
Exploring the Frequency Domain for Perceptually Plausible Material Edits
(2020-09-14)
The modeling of consistent 3D-Worlds and the rendering of photo-realistic images and films is a difficult task even for well-trained 3D-designers. This is in particular the case if the resulting media show material surfaces ...
Towards Complex Question Answering over Knowledge Graphs
(2021-06-02)
Over the past decade, Knowledge Graphs (KG) have emerged as a prominent repository for storing facts about the world in a linked data architecture. Providing machines with the capability of exploring such Knowledge Graphs ...
Bedrohung durch Identitätsdatendiebstahl: Datenerhebung, Analyse und Mitigation
(2021-02-24)
Immer häufiger werden in großem Stil Identitätsdaten gestohlen, die anschließend für kriminelle Aktivitäten missbraucht werden. Es existiert jedoch kein Ansatz, um eine breite Masse an betroffenen Personen automatisiert ...
Mining Frequent Itemsets from Transactional Data Streams with Probabilistic Error Bounds
(2020-05-27)
Frequent itemset mining is a classical data mining task with a broad range of applications, including fraud discovery and product recommendation. The enumeration of frequent itemsets has two main benefits for such applications: ......
Theoretical Analysis of Hierarchical Clustering and the Shadow Vertex Algorithm
(2020-05-05)
Agglomerative clustering (AC) is a very popular greedy method for computing hierarchical clusterings in practice, yet its theoretical properties have been studied relatively little. We consider AC with respect to the most ...
Federated Query Processing over Heterogeneous Data Sources in a Semantic Data Lake
(2020-05-05)
Data provides the basis for emerging scientific and interdisciplinary data-centric applications with the potential of improving the quality of life for citizens. Big Data plays an important role in promoting both manufacturing ...