Browsing by Subject "Computer science"

Sort by: Order: Results:

  • A deep learning approach to identify unhealthy advertisements in street view images 
    Palmer, Gregory; Green, Mark; Boyland, Emma; Vasconcelos, Yales Stefano Rios; Savani, Rahul; Singleton, Alex (London : Nature Publishing Group, 2021)
    While outdoor advertisements are common features within towns and cities, they may reinforce social inequalities in health. Vulnerable populations in deprived areas may have greater exposure to fast food, gambling and ...
  • 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 ...
  • Back to the future: origins and directions of the “Agile Manifesto” – views of the originators 
    Hohl, Philipp; Klünder, Jil; Bennekum, Arie van; Lockard, Ryan; Gifford, James; Münch, Jürgen; Stupperich, Michael; Schneider, Kurt (Heidelberg : SpringerOpen, 2018)
    In 2001, seventeen professionals set up the manifesto for agile software development. They wanted to define values and basic principles for better software development. On top of being brought into focus, the manifesto has ...
  • 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, ...
  • Coherent Social Systems for Learning: An Approach for Contextualized and Community-Centred Metadata 
    Allert, Heidrun (Milton Keynes : Open University, 2004)
    The aim of this work is to outline a modelling approach for context specific educational metadata, which addresses the valuable diversity in the field of learning. It presents some foundational issues in the field of ...
  • Condición e hipótesis más allá de lo real y lo irreal 
    García de María, Javier (Valencia : Universitat Politecnica de Valencia, 2009)
    A treatment of conditional clauses from the point of view of such terms as real-unreal conditions or similar is unsatisfactory if the first requirement for the language is that of communication. This essay presents the ...
  • 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 ...
  • Correction: Mechanical properties of femoral trabecular bone in dogs 
    Pressel, Thomas; Bouguecha, Anas; Vogt, Ute; Meyer-Lindenberg, Andrea; Behrens, Bernd-Arno; Nolte, Ingo; Windhagen, Henning (London : BioMed Central Ltd., 2005)
    After the publication of this work [1], we became aware of the fact that the frequency of the ultrasound transmitter that we used for determining the elastic moduli of the trabecular bone specimens was not correctly ...
  • 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 ...
  • 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 ...
  • Enhancing the resolution of urban digital terrain models using mobile mapping systems 
    Feng, Yu; Brenner, Claus; Sester, Monika (Göttingen : Copernicus GmbH, 2018)
    Digital Terrain Models (DTMs) are essential surveying products for terrain based analyses, especially for overland flow modelling. Nowadays, many high resolution DTM products are generated by Airborne Laser Scanning (ALS). ...
  • 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 ...
  • A Failure-Tolerant Approach for Autonomous Mobile Manipulation in RoboCup@Work 
    Carstensen, Jan; Carstensen, Torben; Aden, Simon; Dick, Andrej; Hübner, Jens; Krause, Sven; Michailik, Alexander; Wigger, Johann; Friederichs, Jan; Kotlarski, Jens (Berlin ; Heidelberg : Springer, 2016)
    In this paper we summarize how the LUHbots team was able to win the 2015 RoboCup@Work league. We introduce various failure handling concepts, which lead to the robustness necessary to outperform all the other teams. The ...
  • HICSS - Financial Decision Support System for Wind Energy – Analysis of Mexican Projects and a Support Scheme Concept 
    Koukal, André; Piel, Jan-Hendrik (Honolulu : Hawaii International Conference on System Sciences, 2017)
    Energy consumption is constantly on the increase all over the world. Especially fast-growing economies in emerging countries contribute to this increase. Governments need to promote the expansion of renewable energies in ...
  • HICSS - Moderation of Enterprise Social Networks – A Literature Review from a Corporate Perspective 
    Nolte, Ferry; Guhr, Nadine; Breitner, Michael H. (Honolulu : Hawaii International Conference on System Sciences, 2017)
    The implementation of internal social collaboration technologies confronts corporations with new challenges. Former unidirectional information flows become multidirectional and user-content driven networks. Prior research ...