Search for dissertations about: "Gradient descent method"

Showing result 1 - 5 of 12 swedish dissertations containing the words Gradient descent method.

  1. 1. Fuzzy Control for an Unmanned Helicopter

    University dissertation from Institutionen för datavetenskap

    Author : Bourhane Kadmiry; Dimiter Driankov; [2002]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Helicopter; Robust control; Fuzzy gain scheduling; Gradient descent method; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap;

    Abstract : The overall objective of the Wallenberg Laboratory for Information Technology and Autonomous Systems (WITAS) at Linköping University is the development of an intelligent command and control system, containing vision sensors, which supports the operation of a unmanned air vehicle (UAV) in both semi- and full-autonomy modes. One of the UAV platforms of choice is the APID-MK3 unmanned helicopter, by Scandicraft Systems AB. READ MORE

  2. 2. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Ted Kronvall; [2017-09-22]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

    Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE

  3. 3. Asynchronous Algorithms for Large-Scale Optimization Analysis and Implementation

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Arda Aytekin; KTH.; [2017]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; convex optimization; optimization; asynchronous algorithms; algorithms; parallel algorithms; large-scale; big data; Electrical Engineering; Elektro- och systemteknik;

    Abstract : This thesis proposes and analyzes several first-order methods for convex optimization, designed for parallel implementation in shared and distributed memory architectures. The theoretical focus is on designing algorithms that can run asynchronously, allowing computing nodes to execute their tasks with stale information without jeopardizing convergence to the optimal solution. READ MORE

  4. 4. Accelerating Convergence of Large-scale Optimization Algorithms

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Euhanna Ghadimi; KTH.; [2015]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Convex optimization; Large-scale systems; First-order methods; Convergence analysis; ADMM; Optimization algorithms; Electrical Engineering; Elektro- och systemteknik; Matematik; Mathematics;

    Abstract : Several recent engineering applications in multi-agent systems, communication networks, and machine learning deal with decision problems that can be formulated as optimization problems. For many of these problems, new constraints limit the usefulness of traditional optimization algorithms. READ MORE

  5. 5. Variational Problems and Level Set Methods in Computer Vision - Theory and Applications

    University dissertation from Mathematics (Faculty of Technology)

    Author : Jan Erik Solem; [2006]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mathematics; level set methods; computer vision; variational problems; Matematik;

    Abstract : Current state of the art suggests the use of variational formulations for solving a variety of computer vision problems. This thesis deals with such variational problems which often include the optimization of curves and surfaces. READ MORE