Essays about: "feature representation"

Showing result 16 - 20 of 141 essays containing the words feature representation.

  1. 16. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Wilhelm Ågren; [2022]
    Keywords : Machine learning; Deep learning; Self-supervised learning; Cluster analysis; SimCLR; Magnetoencephalography; Partial sleep deprivation; Wavelet transform; Maskininlärning; Djupinlärning; Självövervakad inlärning; Klusteranalys; SimCLR; Magnetoencefalografi; Delvis sömndeprivering; Wavelet transform;

    Abstract : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. READ MORE

  3. 17. Feature extraction with self-supervised learning on eye-tracking data from Parkinson’s patients and healthy individuals

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Leo Bergman; [2022]
    Keywords : Eye-tracking; Representation learning; Self-supervised learning; Parkinson’s disease; Feature extraction; Clustering analysis; Ögonspårning; Särdragsextraktion; Parkinsonssjukdom; Representationsinlärning; Maskininlärning; Klustring;

    Abstract : Eye-tracking is a method for monitoring and measuring eye movements. The technology has had a significant impact so far and new application areas are emerging. Today, the technology is used in the gaming industry, health industry, self-driving cars, and not least in medicine. READ MORE

  4. 18. Image-Text context relation using Machine Learning : Research on performance of different datasets

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yuqi Sun; [2022]
    Keywords : Vision-Language; Representation learning; Bert; Faster R-CNN; Oscar; Datasets; Visual-Language; Representation inlärning; Bert; Faster R-CNN; Oscar; Datamängder;

    Abstract : Based on the progress in Computer Vision and Natural Language Processing fields, Vision-Language (VL) models are designed to process information from images and texts. The thesis focused on the performance of a model, Oscar, on different datasets. READ MORE

  5. 19. The Role of Data in Projected Quantum Kernels: The Higgs Boson Discrimination

    University essay from KTH/Fysik

    Author : Francesco Di Marcantonio; [2022]
    Keywords : Quantum Machine Learning; Quantum Support Vector Machine; Projected Quantum Kernel; Higgs Boson; Supervised Learning; Kernel Method; Quantum Machine Learning; Quantum Support Vector Machine; Projected Quantum Kernel; Higgs Boson; Supervised Learning; Kernel Method;

    Abstract : The development of quantum machine learning is bridging the way to fault tolerant quantum computation by providing algorithms running on the current noisy intermediate scale quantum devices.However, it is difficult to find use-cases where quantum computers exceed their classical counterpart. READ MORE

  6. 20. Explaining rifle shooting factors through multi-sensor body tracking : Using transformers and attention to mine actionable patterns from skeleton graphs

    University essay from Jönköping University/JTH, Avdelningen för datavetenskap

    Author : Filip Andersson; Jonatan Flyckt; [2021]
    Keywords : Machine learning; Explainable AI; Transformers; Skeleton graphs; Rifle shooting;

    Abstract : There is a lack of data-driven training instructions for sports shooters, as instruction has commonly been based on subjective assessments. Many studies have correlated body posture and balance to shooting performance in rifle shooting tasks, but most of them have focused on single aspects of postural control. READ MORE