Search for dissertations about: "Vector Classification"

Showing result 21 - 25 of 72 swedish dissertations containing the words Vector Classification.

  2. 21. Riemannian Manifold-Based Modeling and Classification Methods for Video Activities with Applications to Assisted Living and Smart Home

    Author : Yixiao Yun; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; assisted living; Riemannian manifold; fall detection; smart homes; activities of daily living ADL ; video tracking; activity classification;

    Abstract : This thesis mainly focuses on visual-information based daily activity classification, anomaly detection, and video tracking through using visual sensors. The main reasons for adopting visual-information based methods are due to: (i) vision plays a major role in recognition/classification of activities which is a fundamental issue in a human-centric system; (ii) visual sensor-based analysis may possibly offer high performance with minimum disturbance to individuals' daily lives. READ MORE

  4. 22. High-Performance Computing For Support Vector Machines

    Author : Shirin Tavara; Alexander Schliep; Alexander Karlsson; Richard Johansson; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ; INF301 Data Science; INF301 Data Science;

    Abstract : Machine learning algorithms are very successful in solving classification and regression problems, however the immense amount of data created by digitalization slows down the training and predicting processes, if solvable at all. High-Performance Computing(HPC) and particularly parallel computing are promising tools for improving the performance of machine learning algorithms in terms of time. READ MORE

  5. 23. Urban Land-cover Mapping with High-resolution Spaceborne SAR Data

    Author : Hongtao Hu; Yifang Ban; Johan Fransson; KTH; []
    Keywords : LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; High-resolution; RADARSAT-1 SAR; RADARSAT-2 SAR; Urban Land Cover; Object-based Classification; Neural Network; Support Vector Machines.; Remote sensing; Fjärranalys;

    Abstract : Urban areas around the world are changing constantly and therefore it is necessary to update urban land cover maps regularly. Remote sensing techniques have been used to monitor changes and update land-use/land-cover information in urban areas for decades. Optical imaging systems have received most of the attention in urban studies. READ MORE

  6. 24. Sea Ice Concentration Estimation and Ice Type Classification from Dual-Frequency Satellite Synthetic Aperture Radar

    Author : Wiebke Aldenhoff; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; sea ice concentration; sea ice; SAR imaging; sea ice classification; Fram Strait;

    Abstract : The sea ice cover in the Arctic has undergone dramatic changes in recent years. The perennial sea ice extent is decreasing by 12.2 % per decade while annual mean sea ice thickness has decreased by more than 2 m for the central Arctic Basin from 1975 to 2012. READ MORE

  7. 25. Earth Observation based Monitoring of Urbanizationand Environmental Impact in Kigali, Rwanda

    Author : Theodomir Mugiraneza; Yifang Ban; Jan Haas; Emmanuel Twarabamenye; Constantinos Cartalis; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Earth observation; Landsat; Sentinel-2; WorldView-2; Urbanization; Land cover classification; Support vector machines; Random forest; U-Net; LandTrendr; Landscape metrics; Ecosystem services; Environmental impact analysis; Kigali; Rwanda; Jordobservation; Landsat; Sentinel-2 MSI; WorldView-2; Urbanisering; Klassificering av marktäcke; Stödvektormaskiner; Slumpmässig skog; U-Net; LandTrendr; Landskapsmetriker; Ekosystemtjänster; Miljökon- sekvensanalys; Kigali; Rwanda.; Geoinformatics; Geoinformatik;

    Abstract : Urbanization is one of the great challenges in the 21st century. Despite being an engine for the global economy, urban areas consume 78% of World's energy and emit more than 60% of greenhouse gas emission. Sub-SaharanAfrican cities, e.g. READ MORE