Search for dissertations about: "Gradient descent method"
Showing result 1 - 5 of 12 swedish dissertations containing the words Gradient descent method.
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1. Fuzzy Control for an Unmanned Helicopter
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
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2. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing
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
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3. Asynchronous Algorithms for Large-Scale Optimization : Analysis and Implementation
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
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4. Accelerating Convergence of Large-scale Optimization Algorithms
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
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5. Variational Problems and Level Set Methods in Computer Vision - Theory and Applications
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
