Essays about: "Semi-supervised Learning"
Showing result 16 - 20 of 75 essays containing the words Semi-supervised Learning.
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16. Computer Vision in Fitness: Exercise Recognition and Repetition Counting
University essay from KTH/Matematik (Avd.)Abstract : Motion classification and action localization have rapidly become essential tasks in computer vision and video analytics. In particular, Human Action Recognition (HAR), which has important applications in clinical assessments, activity monitoring, and sports performance evaluation, has drawn a lot of attention in research communities. READ MORE
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17. LaMOSNet: Latent Mean-Opinion-Score Network for Non-intrusive Speech Quality Assessment : Deep Neural Network for MOS Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Objective non-intrusive speech quality assessment aimed to emulate and correlate with human judgement has received more attention over the years. It is a difficult problem due to three reasons: data scarcity, noisy human judgement, and a potential uneven distribution of bias of mean opinion scores (MOS). READ MORE
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18. A Systematic Study of Semi-Supervised Learning Based on Shapley Value Data Valuation
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Semi-supervised learning algorithms seek to train prediction models on both labelled and unlabelled that outperform prediction models trained only on labelled data. Semi-supervised learning is often realised through the selection of unlabelled instances with predicted pseudo-labels. READ MORE
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19. Training a computer vision model using semi-supervised learning and applying post-training quantizations
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Electrical scooters have gained a lot of attention and popularity among commuters all around the world since they entered the market. After all, electrical scooters have shown to be efficient and cost-effective mode of transportation for commuters and travelers. READ MORE
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20. Sequential Anomaly Detection for Log Data Using Deep Learning
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an organization. READ MORE