Search for dissertations about: "Canonical Correlation Analysis"
Showing result 1 - 5 of 23 swedish dissertations containing the words Canonical Correlation Analysis.
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1. Computational Medical Image Analysis : With a Focus on Real-Time fMRI and Non-Parametric Statistics
Abstract : Functional magnetic resonance imaging (fMRI) is a prime example of multi-disciplinary research. Without the beautiful physics of MRI, there wouldnot be any images to look at in the first place. To obtain images of goodquality, it is necessary to fully understand the concepts of the frequencydomain. READ MORE
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2. Inter-annual variability of rainfall in Central America : Connection with global and regional climate modulators
Abstract : Central America is a region regularly affected by natural disasters, with most of them having a hydro-meteorological origin. Therefore, the understanding of annual changes of precipitation upon the region is relevant for planning and mitigation of natural disasters. READ MORE
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3. Applications of Knowledge Discovery in Quality Registries - Predicting Recurrence of Breast Cancer and Analyzing Non-compliance with a Clinical Guideline
Abstract : In medicine, data are produced from different sources and continuously stored in data depositories. Examples of these growing databases are quality registries. In Sweden, there are many cancer registries where data on cancer patients are gathered and recorded and are used mainly for reporting survival analyses to high level health authorities. READ MORE
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4. Adaptive analysis of functional MRI data
Abstract : Functional Magnetic Resonance Imaging (fMRI) is a recently developed neuroimaging technique with capacity to map neural activity with high spatial precision. To locate active brain areas, the method utilizes local blood oxygenation changes which are reflected as small intensity changes in a special type of MR images. READ MORE
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5. A Treatise on Measuring Wiener-Granger Causality
Abstract : Wiener-Granger causality is a well-established concept of causality based on stochasticity and the flow of time, with applications in a broad array of quantitative sciences. The majority of methods used to measure Wiener-Granger causality are based on linear premises and hence insensitive to non-linear signals. READ MORE