Essays about: "Faltning"

Showing result 1 - 5 of 10 essays containing the word Faltning.

  1. 1. New Variants of Nonnegative Matrix Factorization with Application to Speech Coding and Speech Enhancement

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

    Author : Pedro Jafeth Villasana Tinajero; [2019]
    Keywords : ;

    Abstract : In this thesis, new variants of nonnegative matrix factorization (NMF) based ona convolutional data model, -divergence and sparsication are developed andanalyzed. These NMF variants are collectively referred to as -CNMF. Commonsparsication techniques such as L1-norm minimization and elastic net arediscussed and a new regularizer is proposed. READ MORE

  2. 2. Semi-Markov processes for calculating the safety of autonomous vehicles

    University essay from KTH/Matematisk statistik

    Author : Stefan Kaalen; [2019]
    Keywords : Semi-Markov process; functional safety; autonomous vehicle; hazardous event; Stieltjes convolution; reliability; Laplace-Stieltjes transform; Euler algorithm; Talbot algorithm; Semi-Markov process; funktionell säkerhet; autonoma fordon; farlig situation; Stieltjes faltning; funktionssäkerhet; Laplace-Stieltjes transform; Eulers algoritm; Talbots algoritm;

    Abstract : Several manufacturers of road vehicles today are working on developing autonomous vehicles. One subject that is often up for discussion when it comes to integrating autonomous road vehicles into the infrastructure is the safety aspect. There is in the context no common view of how safety should be quantified. READ MORE

  3. 3. Correction of Radial Sampling Trajectories by Modeling Nominal Gradient Waveforms and Convolving with Gradient Impulse Response Function

    University essay from KTH/Medicinteknik och hälsosystem; KTH/Medicinteknik och hälsosystem

    Author : Max Kim; Adham Belbaisi; [2019]
    Keywords : Magnetic resonance imaging; MRI; gradient waveforms; radial sampling; gradient imperfections; gradient impulse response function; GIRF; Magnetresonanstomografi; MRI; gradient vågformer; radiell sampling; gradient imperfektioner; gradient impulsresponsfunktion; GIRF;

    Abstract : There are several reasons for using non-Cartesian k-space sampling methods in Magnetic Resonance Imaging (MRI). Such a method is radial sampling, which includes the advantage of continuous coverage of the k-space center which results in higher robustness to motion. READ MORE

  4. 4. Proposal networks in object detection

    University essay from KTH/Matematisk statistik

    Author : Mikael Grossman; [2019]
    Keywords : Deep learning; Machine learning; Computer vision; Applied mathematics; Statistics; Artificial Neural Networks; Object detection; Faster R-CNN; RPN; Proposal Network; Maskininlärning; Neurala nätverk; Objektdetektering; Tillämpad matematik; Matematisk statistik; RPN; Förslags nätverk;

    Abstract : Locating and extracting useful data from images is a task that has been revolutionized in the last decade as computing power has risen to such a level to use deep neural networks with success. A type of neural network that uses the convolutional operation called convolutional neural network (CNN) is suited for image related tasks. READ MORE

  5. 5. Feature Selection for Sentiment Analysis of Swedish News Article Titles

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

    Author : Jonas Dahl; [2018]
    Keywords : sentiment analysis; machine learning; sentiments; ml; ai; neural networks; ann; artificial neural networks; convolutional neural network; cnn; language technology; natural language; news; titles; Swedish; sentimentanalys; maskininlärning; sentiment; ml; ai; neuronnät; ann; artificiella neuronnät; cnn; nyheter; nyhetsrubriker; språkteknologi;

    Abstract : The aim of this study was to elaborate the possibilities of sentiment analyzing Swedish news article titles using machine learning approaches and find how the text is best represented in such conditions. Sentiment analysis has traditionally been conducted by part-of-speech tagging and counting word polarities, which performs well for large domains and in absence of large sets of training data. READ MORE