Essays about: "clustering master thesis"
Showing result 6 - 10 of 58 essays containing the words clustering master thesis.
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6. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperAbstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE
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7. Evaluation of Machine Learning techniques for Master Data Management
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : In organisations, duplicate customer master data present a recurring problem. Duplicate records can result in errors, complication, and inefficiency since they frequently result from dissimilar systems or inadequate data integration. READ MORE
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8. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. READ MORE
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9. A Study of Face Alignment Methods in Unmasked and Masked Face Recognition
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Face recognition is a popular technology that has been widely used in various applications, such as security systems, social media, and entertainment. However, recognizing faces accurately is challenging due to factors such as facial expressions, head poses, and lighting conditions. READ MORE
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10. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE