Essays about: "image processing 2014"
Showing result 1 - 5 of 32 essays containing the words image processing 2014.
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1. Performance Assessment of Networked Immersive Media in Mobile Health Applications with Emphasis on Latency
University essay from Blekinge Tekniska HögskolaAbstract : Cloud VR/AR/MR (Virtual Reality, Augmented Reality, and Mixed Reality) services representa high-level architecture that combines large scale computer resources in a data-center structurestyle set up to render VR/AR/MR services using a combination of very high bandwidth, ultralow latency, high throughput, latest 5G (5th Generation) mobile networks to the end users. VR refers to a three-dimensional computer-generated virtual environment made up ofcomputers, which can be explored by people for real time interaction. READ MORE
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2. Automatic Classification of UML Sequence Diagrams from Images
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Academia’s lack of UML artifacts has been an impediment in researching UML and its implication in software development. This has initiated the conception of the UML repository, which is a platform were researchers can share and study UML artifacts. To build such a repository it’s required to collect UML diagrams. READ MORE
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3. Generative Adversarial Networks in Text Generation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Generative Adversarial Network (GAN) was firstly proposed in 2014, and it has been highly studied and developed in recent years. It has obtained great success in the problems that cannot be explicitly defined by a math equation such as generating real images. READ MORE
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4. Cell Death State Classification by Using Image Processing Methods
University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandlingAbstract : The cell population is used to determine the effect of a drug to understand the disease mechanisms. Thus the analysis of the population behavior provides new insights in medicine development. This project focuses on developing a simple method for cell images which have low resolution and high complexity. READ MORE
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5. Developing a web-based system to visualize vegetation trends by a nonlinear regression algorithm
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Comparing with traditional linear regression methods that used to monitor vegetation trends, a nonlinear regression algorithm (PolyTrend) developed by Jamali et al. (2014) can provide more accurate information of vegetation trends by fitting a polynomial line with a degree of up to three for ASCII-formed time-series NDVI (Normalized Difference Vegetation Index) dataset of a single pixel. READ MORE