Essays about: "mean shift"
Showing result 26 - 30 of 109 essays containing the words mean shift.
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26. The EU Taxonomy on Sustainable Finance : A Major Stride Forward or a Nightmare in Practice?
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : To limit the effects of climate change and keep the global mean temperature increase of below 1.5 °C in the year 2100, the financial markets need to shift investments into low-carbon business and technologies. READ MORE
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27. Learning from Synthetic Data : Towards Effective Domain Adaptation Techniques for Semantic Segmentation of Urban Scenes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Semantic segmentation is the task of predicting predefined class labels for each pixel in a given image. It is essential in autonomous driving, but also challenging because training accurate models requires large and diverse datasets, which are difficult to collect due to the high cost of annotating images at pixel-level. READ MORE
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28. Noise Reduction of Scintillation Camera Images Using UNET: A Monte Carlo Simulation Approach
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Background The project aims to reduce the noise in planar 111-In projections with a machine learning model. Method Sixteen base phantoms were used to create 696 phantoms in XCAT. An anterior planar projection was simulated with 111-In and ten uptake curves for each phantom in SIMIND. READ MORE
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29. Hosting Tour De France Under Covid-19: Bargain Or Burden For New Stage Cities?
University essay from Umeå universitet/Institutionen för geografiAbstract : The Tour De France (TDF) is the third largest sporting event in the world and the biggest cycling race in terms of popularity and prestige. The event generates global media exposure and attracts millions of short- and long-term visitors each year, thus, TDF is extremely appealing for communities in search of profits. READ MORE
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30. Implementation of Spectrum Analysis Functionality for IQ-Signal.
University essay from Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskapAbstract : The spectrum analyzer is a standard tool used to measure signals in the frequency domain. Traditional spectrum analyzers are based on sweeping a local oscillator and using this to mix signals down to an intermediate frequency (IF) and, subsequently filter them with a filter of settable characteristics, called the Resolution Bandwidth (RBW). READ MORE