Essays about: "Bayesian Deep Learning"
Showing result 6 - 10 of 19 essays containing the words Bayesian Deep Learning.
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6. Probabilistic Detection of Nuclei in Digital Pathology using Bayesian Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Deep learning (DL) has demonstrated outstanding performance in a variety of applications. With the assistance of DL, healthcare seeks to reduce labor costs and increase access to high-quality medical resources. To ensure the stability and robustness of DL applications in medicine, it is essential to estimate the uncertainty. READ MORE
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7. Flight Sorting Algorithm Based on Users’ Behaviour
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The model predicts the best flight order and recommend best flight to users. The thesis could be divided into the following three parts: Feature choosing, data-preprocessing, and various algorithms experiment. READ MORE
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8. Genre-based Video Clustering using Deep Learning : By Extraction feature using Object Detection and Action Recognition
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Social media has become an integral part of the Internet. There have been users across the world sharing content like images, texts, videos, and so on. There is a huge amount of data being generated and it has become a challenge to the social media platforms to group the content for further usage like recommending a video. READ MORE
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9. Using Deep Learning to SegmentCardiovascular 4D Flow MRI : 3D U-Net for cardiovascular 4D flow MRI segmentation and Bayesian 3D U-Net for uncertainty estimation
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Deep convolutional neural networks (CNN’s) have achieved state-of-the-art accuraciesfor multi-class segmentation in biomedical image science. In this thesis, A 3D U-Net isused to segment 4D flow Magnetic Resonance Images that include the heart and its largevessels. READ MORE
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10. Belief-aided Robust Control for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE