Essays about: "dimensionality reduction"
Showing result 16 - 20 of 96 essays containing the words dimensionality reduction.
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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. Autoencoder Compression in High Energy Physics
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen; Lunds universitet/Lunds Tekniska HögskolaAbstract : Situated in Geneva, Switzerland, the Large Hadron Collider is largest particle accelerator in the world, and as such, its operation carries with it some of the greatest technical challenges ever faced. Among them are the huge demands put on data storage capacity by experiments in particle physics, both in terms of rate and volume of data. READ MORE
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18. ML-Aided Cross-Band Channel Prediction in MIMO Systems
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Wireless communications technologies have experienced an exponential development during the last decades. 5G is a prominent exponent whose one of its crucial component is the Massive MIMO technology. READ MORE
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19. The driving forces of Venture Capital funding in Sweden - A longitudinal study of the determinants and principal components of Venture Capital funding in Sweden from 2001 to 2020
University essay from Göteborgs universitet/Graduate SchoolAbstract : This thesis analyses the driving forces of Venture Capital (VC) funding in Sweden over the years 2001 - 2020. The driving forces of VC funding is an essential piece in understanding how well the Swedish VC industry works and fulfills its purpose in the economy. This knowledge is missing in the literature. READ MORE
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20. Principal Component Analysis and the Cross-Sectional Variation of Returns
University essay fromAbstract : We utilize Principal Component Analysis (PCA), a dimensionality reduction technique, on a set of 142 risk factors, including macroeconomic factors, proposed in financial literature to construct factor models with high explanatory powers when analysing the cross-sectional variation of portfolio returns. We apply a Fama and Macbeth (1973) two-pass regression to estimate risk premia commanded by our principal components. READ MORE