Essays about: "Latent Space"

Showing result 1 - 5 of 36 essays containing the words Latent Space.

  1. 1. Deep Autoencoders for Compression in High Energy Physics

    University essay from Lunds universitet/Partikelfysik; Lunds universitet/Fysiska institutionen

    Author : Eric Wulff; [2020]
    Keywords : ATLAS; hadron jet; machine learning; autoencoder; dimensionality reduction; artificial intelligence; high energy physics; data compression; Physics and Astronomy;

    Abstract : Current technological limitations make it impossible to store the enormous amount of data produced from proton-proton collisions by the ATLAS detector at CERN's Large Hadron Collider. Therefore, specialised hardware and software is being used to decide what data, or which proton-proton \textit{collision events}, to save and which to discard. READ MORE

  2. 2. Deep Scenario Generation of Financial Markets

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Filip Carlsson; Philip Lindgren; [2020]
    Keywords : Variational Autoencoder; Generative Models; Latent Space; Dimensionality Reduction; Unsupervised Learning; Clustering; VAE-Clustering; Scenario Generation; Market Regime; Variational Autoencoder; generativa modeller; latent rum; dimensionsreducering; klustring; scenario generering;

    Abstract : The goal of this thesis is to explore a new clustering algorithm, VAE-Clustering, and examine if it can be applied to find differences in the distribution of stock returns and augment the distribution of a current portfolio of stocks and see how it performs in different market conditions. The VAE-clustering method is as mentioned a newly introduced method and not widely tested, especially not on time series. READ MORE

  3. 3. Self-Supervised Representation Learning for Content Based Image Retrieval

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Hariprasath Govindarajan; [2020]
    Keywords : Content Based Image Retrieval; CBIR; Representation Learning; Self Supervised Learning; Unsupervised Learning; Attention Mechanism; Noise Contrastive Estimation; Autonomous Driving;

    Abstract : Automotive technologies and fully autonomous driving have seen a tremendous growth in recent times and have benefitted from extensive deep learning research. State-of-the-art deep learning methods are largely supervised and require labelled data for training. READ MORE

  4. 4. Adaptive Reference Images for Blood Cells using Variational Autoencoders and Self-Organizing Maps

    University essay from Lunds universitet/Matematik LTH

    Author : Oscar Odestål; Anna Palmqvist Sjövall; [2020]
    Keywords : Image Analysis; Variational Autoencoder; Self-Organizing Maps; Deep Learning; Machine Learning; Microscopy; CellaVision; Microscope; Neural Networks; Blood Cells; White Blood Cells; Image Classification; Data Visualization; Clustering; Latent Space; Unsupervised Learning; Dimensionality Reduction; SOM; VAE; Mathematics and Statistics;

    Abstract : CellaVision develops automated microscopy for blood analysis. Their products can pre-classify 19 different types of white blood cells and support the medical technologist performing the final classification. CellaVision provides reference cells. READ MORE

  5. 5. Jump Estimation of Hidden Markov Models with Time-Varying Transition Probabilities

    University essay from Lunds universitet/Matematisk statistik

    Author : Henning Tansjö; [2020]
    Keywords : Jump estimation; Hidden Markov model; financial time series; clustering; unsupervised learning.; Mathematics and Statistics;

    Abstract : The Hidden Markov model is applicable to a wide variety of fields. Applied to financial time series, its assumed underlying state sequence can reflect the time series' tendency to behave differently over different periods of time. In many situations, models could be improved by including exogenous data. READ MORE