Search for dissertations about: "high data in image"
Showing result 1 - 5 of 1616 swedish dissertations containing the words high data in image.
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1. Order in the random forest
Abstract : In many domains, repeated measurements are systematically collected to obtain the characteristics of objects or situations that evolve over time or other logical orderings. Although the classification of such data series shares many similarities with traditional multidimensional classification, inducing accurate machine learning models using traditional algorithms are typically infeasible since the order of the values must be considered. READ MORE
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2. Nearest Neighbor Classification in High Dimensions
Abstract : The simple k nearest neighbor (kNN) method can be used to learn from high dimensional data such as images and microarrays without any modification to the original version of the algorithm. However, studies show that kNN's accuracy is often poor in high dimensions due to the curse of dimensionality; a large number of instances are required to maintain a given level of accuracy in high dimensions. READ MORE
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3. Data-driven microscopy: placing high-fidelity data in a population-wide context
Abstract : Mikroskopi är idag ett fundamentalt verktyg inom forskning, där det tillåter oss att skåda in och utforska våra prover i hög detalj. Mycket utav utvecklingen av nya mikroskopimetoder har strävat efter att öka den detaljnivå vi kan uppnå. READ MORE
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4. Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems
Abstract : Healthcare systems have assimilated information and communication technologies in order to improve the quality of healthcare and patient's experience at reduced costs. The increasing digitalization of people's health information raises however new threats regarding information security and privacy. READ MORE
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5. A path along deep learning for medical image analysis : With focus on burn wounds and brain tumors
Abstract : The number of medical images that clinicians need to review on a daily basis has increased dramatically during the last decades. Since the number of clinicians has not increased as much, it is necessary to develop tools which can help doctors to work more efficiently. READ MORE