Search for dissertations about: "Manifold Learning"

Showing result 1 - 5 of 19 swedish dissertations containing the words Manifold Learning.

  2. 1. Manifold Learning in Computational Biology

    Author : Jens Nilsson; Matematik LTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Nonlinear Dimensionality Reduction; Gene Expression Data; Computational Biology; Machine Learning; Manifold Learning;

    Abstract : This thesis deals with manifold learning techniques and their application in gene expression data analysis. Manifold learning is the study of methods that aim to infer geometrical structure from data sampled from manifolds, enabling nonlinear solutions to various machine learning tasks. READ MORE

  4. 2. Manifold learning and representations for image analysis and visualization

    Author : Anders Brun; Hans Knutsson; Magnus Herberthson; Carl-Fredrik Westin; Reiner Lenz; Linköpings universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; manifold learning; image analysis; signal processing; diffusion tensor mri; Medical informatics; Medicinsk informatik;

    Abstract : We present a novel method for manifold learning, i.e. identification of the low-dimensional manifold-like structure present in a set of data points in a possibly high-dimensional space. The main idea is derived from the concept of Riemannian normal coordinates. READ MORE

  5. 3. Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters

    Author : Zulfiqar Hasan Khan; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; anisotropic mean shift; online learning of reference object; covariance tracking; consensus point feature correspondences; Bayesian tracking; Gabor features; Visual object tracking; Grassmann manifold.; Riemannian manifold; particle filters;

    Abstract : Classical visual object tracking techniques provide effective methods when parameters of the underlying process lie in a vector space. However, various parameter spaces commonly occurring in visual tracking violate this assumption. READ MORE

  6. 4. Regression on Manifolds with Implications for System Identification

    Author : Henrik Ohlsson; Lennart Ljung; Jonas Mårtensson; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System Identification; High-Dimensional Regression; Manifold; Gray-Box Identification.; Automatic control; Reglerteknik;

    Abstract : The trend today is to use many inexpensive sensors instead of a few expensive ones, since the same accuracy can generally be obtained by fusing several dependent measurements. It also follows that the robustness against failing sensors is improved. As a result, the need for high-dimensional regression techniques is increasing. READ MORE

  7. 5. Manifolds in Image Science and Visualization

    Author : Anders Brun; Hans Knutsson; Magnus Herberthson; Carl-Fredrik Westin; Roland Wilson; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; manifold learning; image analysis; signal processing; diffusion tensor mri; Medical engineering; Medicinsk teknik;

    Abstract : A Riemannian manifold is a mathematical concept that generalizes curved surfaces to higher dimensions, giving a precise meaning to concepts like angle, length, area, volume and curvature. A glimpse of the consequences of a non-flat geometry is given on the sphere, where the shortest path between two points – a geodesic – is along a great circle. READ MORE