Search for dissertations about: "visual representations"
Showing result 16 - 20 of 112 swedish dissertations containing the words visual representations.
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16. Word Representations for Emergent Communication and Natural Language Processing
Abstract : The task of listing all semantic properties of a single word might seem manageable at first but as you unravel all the context dependent subtle variations in meaning that a word can encompass, you soon realize that precise mathematical definition of a word’s semantics is extremely difficult. In analogy, humans have no problem identifying their favorite pet in an image but the task of precisely defining how, is still beyond our capabilities. READ MORE
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17. Drawing Science : Visual Content Formation in Young Students’ Multimodal Science Compositions
Abstract : This thesis explores visual formation of science content in young students’ multimodal text-image compositions. In doing so, it also contributes a metalanguage for visual meaning-making about science content in the early school years. READ MORE
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18. Real-Time Visual Analytics Interfaces to Strengthen Human-Automation Collaboration
Abstract : Automation in today’s world supports human operators to accomplish several tasks in limited time. With more advanced automation and autonomous systems, the hu-mans’ role is shifting from hands-on operational tasks to supervisory tasks. READ MORE
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19. Visual Representations and Models: From Latent SVM to Deep Learning
Abstract : Two important components of a visual recognition system are representation and model. Both involves the selection and learning of the features that are indicative for recognition and discarding those features that are uninformative. READ MORE
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20. Shape-based Representations and Boosting for Visual Object Class Detection : Models and methods for representaion and detection in single and multiple views
Abstract : Detection of generic visual object classes (i.e. cars, dogs, mugs or people) in images is a task that humans are able to solve with remarkable ease. Unfortunately this has proven a very challenging task for computer vision. READ MORE