Auflistung nach Schlagwort "Artificial intelligence"

Auflistung nach Schlagwort "Artificial intelligence"

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  • 2nd Workshop on Innovative Software Engineering Education 
    Krusche, Stephan; Kuhrmann, Marco; Schneider, Kurt (Bonn : Gesellschaft für Informatik e.V. (GI), 2019)
    This workshop aims at presenting and discussing innovative teaching approaches in software engineering education, which are highly relevant for teaching at universities, colleges, and in online courses. The workshop focuses ...
  • Accuracy analysis of a low-cost platform for positioning and navigation 
    Hofmann, Sabine; Kuntzsch, C.; Schulze, Malte Jan; Eggert, D.; Sester, Monika (Göttingen : Copernicus GmbH, 2012)
    This paper presents an accuracy analysis of a platform based on low-cost components for landmark-based navigation intended for research and teaching purposes. The proposed platform includes a LEGO MINDSTORMS NXT 2.0 kit, ...
  • Analyzing a block of HRSC image strips for a simultaneous bundle adjustment 
    Bostelmann, Jonas; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)
    10 years ago the first European interplanetary mission Mars Express was launched and sent into orbit around Mars. One of the scientific instruments on board the orbiter is the High Resolution Stereo Camera (HRSC). This ...
  • Automatic refinement of training data for classification of satellite imagery 
    Büschenfeld, Torsten; Ostermann, Jörn (Göttingen : Copernicus GmbH, 2012)
    In this paper, we present a method for automatic refinement of training data. Many classifiers from machine learning used in applications in the remote sensing domain, rely on previously labelled training data. This labelling ...
  • Boosted unsupervised multi-source selection for domain adaptation 
    Vogt, Karsten; Paul, A.; Ostermann, Jörn; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Supervised machine learning needs high quality, densely sampled and labelled training data. Transfer learning (TL) techniques have been devised to reduce this dependency by adapting classifiers trained on different, but ...
  • Building generalization using deep learning 
    Sester, Monika; Feng, Yu; Thiemann, Frank (Göttingen : Copernicus GmbH, 2018)
    Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g. simplification, displacement, ...
  • Context models for crf-based classification of multitemporal remote sensing data 
    Hoberg, Thorsten; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2012)
    The increasing availability of multitemporal satellite remote sensing data offers new potential for land cover analysis. By combining data acquired at different epochs it is possible both to improve the classification ...
  • Context-based urban terrain reconstruction from images and videos 
    Bulatov, Dimitri; Rottensteiner, Franz; Schulz, Karsten (Göttingen : Copernicus GmbH, 2012)
    Detection of buildings and vegetation, and even more reconstruction of urban terrain from sequences of aerial images and videos is known to be a challenging task. It has been established that those methods that have as ...
  • Data mining for classification of high volume dense lidar data in an urban area 
    Chauhan, I.; Brenner, Claus (Göttingen : Copernicus GmbH, 2018)
    3D LiDAR point cloud obtained from the laser scanner is too dense and contains millions of points with information. For such huge volume of data to be sorted, identified, validated and be used for prediction, data mining ...
  • Decision support for efficient XAI services - A morphological analysis, business model archetypes, and a decision tree 
    Gerlach, Jana; Hoppe, Paul; Jagels, Sarah; Licker, Luisa; Breitner, Michael H. (Berlin, Heidelberg : Springer, 2022)
    The black-box nature of Artificial Intelligence (AI) models and their associated explainability limitations create a major adoption barrier. Explainable Artificial Intelligence (XAI) aims to make AI models more transparent ...
  • A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures 
    Zambrano, Valentina; Brase, Markus; Hernández-Gascón, Belén; Wangenheim, Matthias; Gracia, Leticia A.; Viejo, Ismael; Izquierdo, Salvador; Valdés, José Ramón (Basel : MDPI, 2021)
    Surface texturing is an effective method to reduce friction without the need to change materials. In this study, surface textures were transferred to rubber samples in the form of dimples, using a novel laser surface ...
  • An efficient method to detect mutual overlap of a large set of unordered images for structure-from-motion 
    Wang, X.; Zhan, Z.Q.; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Recently, low-cost 3D reconstruction based on images has become a popular focus of photogrammetry and computer vision research. Methods which can handle an arbitrary geometric setup of a large number of unordered and ...
  • Evaluating relevance of educational resources of social and Semantic Web 
    Taibi, Davide; Fulantelli, Giovanni; Dietze, Stefan; Fetahu, Besnik (Heidelberg : Springer Verlag, 2013)
    The social web paradigm has modified the way people behave on the Web. Amongst the many consequences of this change the amount of online resources directly produced and shared by users has increased considerably. In this ...
  • An evaluation framework for data competitions in TEL 
    Drachsler, Hendrik; Stoyanov, Slavi; d'Aquin, Mathieu; Herder, Eelco; Guy, Marieke; Dietze, Stefan (Heidelberg : Springer Verlag, 2014)
    This paper presents a study describing the development of an Evaluation Framework (EF) for data competitions in TEL. The study applies the Group Concept Method (GCM) to empirically depict criteria and their indicators for ...
  • Exploiting the social and semantic web for guided web archiving 
    Risse, Thomas; Dietze, Stefan; Peters, Wim; Doka, Katerina; Stavrakas, Yannis; Senellart, Pierre (Heidelberg : Springer Verlag, 2012)
    The constantly growing amount of Web content and the success of the Social Web lead to increasing needs for Web archiving. These needs go beyond the pure preservation of Web pages. Web archives are turning into "community ...
  • Geometric calibration of full spherical panoramic ricoh-theta camera 
    Aghayari, S.; Saadatseresht, Mohammad; Omidalizarandi, Mohammad; Neumann, Ingo (Göttingen : Copernicus GmbH, 2017)
    A novel calibration process of RICOH-THETA, full-view fisheye camera, is proposed which has numerous applications as a low cost sensor in different disciplines such as photogrammetry, robotic and machine vision and so on. ...
  • Geometrical adjustment towards the alignment of vector databases 
    Dalyot, S.; Dahinden, Tobias; Schulze, Malte Jan; Boljen, J.; Sester, Monika (Göttingen : Copernicus GmbH, 2012)
    Comparison of geospatial databases presenting similar spatial extent might show substantial differences. This is the consequence of different factors, such as: accuracy, scale, data collection and processing methods, ...
  • Hand hygiene monitoring based on segmentation of interacting hands with convolutional networks 
    Dietz, Armin; Pösch, Andreas; Reithmeier, Eduard (Bellingham, Wash. : SPIE, 2018)
    The number of health-care associated infections is increasing worldwide. Hand hygiene has been identified as one of the most crucial measures to prevent bacteria from spreading. However, compliance with recommended procedures ...
  • High accurate pointwise (geo-)referencing of a k-tls based multi-sensor-system 
    Hartmann, J.; Trusheim, P.; Alkhatib, H.; Paffenholz, Jens-André; Diener, D.; Neumann, Ingo (Göttingen : Copernicus GmbH, 2018)
    In recent years, the requirements in the industrial production, e.g., ships or planes, have been increased. In addition to high accuracy requirements with a standard deviation of 1 mm, an efficient 3D object capturing is ...
  • Human Beyond the Machine: Challenges and Opportunities of Microtask Crowdsourcing 
    Gadiraju, Ujwal; Demartini, Gianluca; Kawase, Ricardo; Dietze, Stefan (Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc., 2015)
    In the 21st century, where automated systems and artificial intelligence are replacing arduous manual labor by supporting data-intensive tasks, many problems still require human intelligence. Over the last decade, by tapping ...