Essays about: "downsampling"
Showing result 1 - 5 of 20 essays containing the word downsampling.
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1. Enhancement-basedSmall TargetDetection for InfraredImages
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Infrared small target detection is widely used in fields such as military and security. UNet, which is a classical semantic segmentation method proposed in 2015, has shown excellent performance and robustness. However, U-Net suffers from the problem of losing small targets in deep layers after multiple down-sampling operations. READ MORE
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2. Building High-performing Web Rendering of Large Data Sets
University essay from Umeå universitet/Institutionen för fysikAbstract : Interactive visualization is an essential tool for data analysis. Cloud-based data analysis software must handle growing data sets without relying on powerful end-user hardware. This thesis explores and tests various methods to speed up primarily time series plots of large data sets on the web for the biotechnology research company Sartorius. READ MORE
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3. Investigation of Facial Age Estimation using Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Age estimation from facial images has drawn increasing attention in the past fewyears. This thesis project performs the age group classification of facial imagesacquired in in-the-wild conditions using deep convolutional neural networkstechniques. READ MORE
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4. Super-Resolution Vehicle Trajectory using Recurrent Time Series Imputation
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Vehicle data finds its use in a variety of applications in the fields of machine learning and data analysis. The volume of available data is limited by the frequency of data collection, and for several reasons, it can be infeasible to simply amplify this frequency. READ MORE
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5. The Effects of Downsampling on Computation Speed and Accuracy in Event-based Hough Transform
University essay from KTH/DatavetenskapAbstract : Event cameras can register many million events per second, corresponding to a temporal resolution of thousands of frames per second in a traditional camera. Consequentially, it is often necessary to reduce the number of events in the event stream to achieve fast computation times. READ MORE