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Found 5 swedish dissertations matching the above criteria.
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1. Manifold learning and representations for image analysis and visualization
Abstract : We present a novel method for manifold learning, i.e. identification of the low-dimensional manifold-like structure present in a set of data points in a possibly high-dimensional space. The main idea is derived from the concept of Riemannian normal coordinates. READ MORE
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2. Manifolds in Image Science and Visualization
Abstract : A Riemannian manifold is a mathematical concept that generalizes curved surfaces to higher dimensions, giving a precise meaning to concepts like angle, length, area, volume and curvature. A glimpse of the consequences of a non-flat geometry is given on the sphere, where the shortest path between two points – a geodesic – is along a great circle. READ MORE
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3. Learning based segmentation and generation methods for handwritten document images
Abstract : Computerized analysis of handwritten documents is an active research area in image analysis and computer vision. The goal is to create tools that can be available for use at university libraries and for researchers in the humanities. READ MORE
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4. Interpreting the Script : Image Analysis and Machine Learning for Quantitative Studies of Pre-modern Manuscripts
Abstract : The humanities have for a long time been a collection of fields that have not gained from the advancements in computational power, as predicted by Moore´s law. Fields like medicine, biology, physics, chemistry, geology and economics have all developed quantitative tools that take advantage of the exponential increase of processing power over time. READ MORE
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5. Learning based Word Search and Visualisation for Historical Manuscript Images
Abstract : Today, work with historical manuscripts is nearly exclusively done manually, by researchers in the humanities as well as laypeople mapping out their personal genealogy. This is a highly time consuming endeavour as it is not uncommon to spend months with the same volume of a few hundred pages. READ MORE