Search for dissertations about: "analysis of recognition methods"
Showing result 1 - 5 of 184 swedish dissertations containing the words analysis of recognition methods.
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1. Decisional-Emotional Support System for a Synthetic Agent : Influence of Emotions in Decision-Making Toward the Participation of Automata in Society
Abstract : Emotion influences our actions, and this means that emotion has subjective decision value. Emotions, properly interpreted and understood, of those affected by decisions provide feedback to actions and, as such, serve as a basis for decisions. READ MORE
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2. Segmentation Methods for Medical Image Analysis : Blood vessels, multi-scale filtering and level set methods
Abstract : Image segmentation is the problem of partitioning an image into meaningful parts, often consisting of an object and background. As an important part of many imaging applications, e.g. face recognition, tracking of moving cars and people etc, it is of general interest to design robust and fast segmentation algorithms. READ MORE
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3. The Dynamics of Extratextual Translatorship in Contemporary Sweden : A Mixed Methods Approach
Abstract : This thesis is concerned with Swedish translators and the society in which they work. It begins with an exploration of the concept of translatorship, leading up to a three-part distinction of 1) textual translatorship, 2) paratextual translatorship, and 3) extratextual translatorship. READ MORE
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4. Multivariate design of molecular docking experiments : An investigation of protein-ligand interactions
Abstract : To be able to make informed descicions regarding the research of new drug molecules (ligands), it is crucial to have access to information regarding the chemical interaction between the drug and its biological target (protein). Computer-based methods have a given role in drug research today and, by using methods such as molecular docking, it is possible to investigate the way in which ligands and proteins interact. READ MORE
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5. Automated Tissue Image Analysis Using Pattern Recognition
Abstract : Automated tissue image analysis aims to develop algorithms for a variety of histological applications. This has important implications in the diagnostic grading of cancer such as in breast and prostate tissue, as well as in the quantification of prognostic and predictive biomarkers that may help assess the risk of recurrence and the responsiveness of tumors to endocrine therapy. READ MORE