Search for dissertations about: "image processing compute science"
Showing result 1 - 5 of 9 swedish dissertations containing the words image processing compute science.
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1. Group-Theoretical Structure in Multispectral Color and Image Databases
Abstract : Many applications lead to signals with nonnegative function values. Understanding the structure of the spaces of nonnegative signals is therefore of interest in many different areas. Hence, constructing effective representation spaces with suitable metrics and natural transformations is an important research topic. READ MORE
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2. Analytical Approximations for Bayesian Inference
Abstract : Bayesian inference is a statistical inference technique in which Bayes’ theorem is used to update the probability distribution of a random variable using observations. Except for few simple cases, expression of such probability distributions using compact analytical expressions is infeasible. READ MORE
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3. Machine learning using approximate inference : Variational and sequential Monte Carlo methods
Abstract : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. READ MORE
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4. On Timing-Based Localization in Cellular Radio Networks
Abstract : The possibilities for positioning in cellular networks has increased over time, pushed by increased needs for location based products and services for a variety of purposes. It all started with rough position estimates based on timing measurements and sector information available in the global system for mobile communication (gsm), and today there is an increased standardization effort to provide more position relevant measurements in cellular communication systems to improve on localization accuracy and availability. READ MORE
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5. Offline Task Scheduling in a Three-layer Edge-Cloud Architecture
Abstract : Internet of Things (IoT) devices are increasingly being used everywhere, from the factory to the hospital to the house to the car. IoT devices typically have limited processing resources, so they must rely on cloud servers to accomplish their tasks. Thus, many obstacles need to be overcome while offloading tasks to the cloud. READ MORE