Sökning: "tensor"

Visar resultat 1 - 5 av 225 avhandlingar innehållade ordet tensor.

  1. 1. Algorithms in data mining using matrix and tensor methods

    Författare :Berkant Savas; Lars Eldén; Lieven De Lathauwer; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Volume; Minimization criterion; Determinant; Rank deficient matrix; Reduced rank regression; System identification; Rank reduction; Volume minimization; General algorithm; Handwritten digit classification; Tensors; Higher order singular value decomposition; Tensor approximation; Least squares; Tucker model; Multilinear algebra; Notation; Contraction; Tensor matricization; Newton s method; Grassmann manifolds; Product manifolds; Quasi-Newton algorithms; BFGS and L-BFGS; Symmetric tensor approximation; Local intrinsic coordinates; Global embedded coordinates; ; Numerical analysis; Numerisk analys;

    Sammanfattning : In many fields of science, engineering, and economics large amounts of data are stored and there is a need to analyze these data in order to extract information for various purposes. Data mining is a general concept involving different tools for performing this kind of analysis. LÄS MER

  2. 2. The Chevreton Superenergy Tensor in Einstein-Maxwell Spacetimes

    Författare :Ingemar Eriksson; Göran Bergqvist; Paul Todd; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Einstein-Maxwell; graviational energy; superenergy; Bel tensor; Chevreton tensor; conservation laws; Conformal Einstein space; Theory of relativity; gravitation; Relativitetsteori; gravitation;

    Sammanfattning : In this thesis we investigate the superenergy tensor that was introduced by Chevreton in 1964 as an electromagnetic counterpart to the Bel-Robinson tensor for the gravitational feld.We show that in Einstein-Maxwell spacetimes with a source-free electromagnetic feld, the Chevreton superenergy tensor has many interesting properties. LÄS MER

  3. 3. Feature extraction based on a tensor image description

    Författare :Carl-Fredrik Westin; Linköpings universitet; []
    Nyckelord :Image analysis; Representation; Tensor; Hough transform; Möbius strip; Corner detection; TECHNOLOGY; TEKNIKVETENSKAP;

    Sammanfattning : Feature extraction from a tensor based local image representation introduced by Knutsson in [37] is discussed. The tensor representation keeps statements of structure, certainty of statement and energy separate. LÄS MER

  4. 4. Variational Tensor-Based Models for Image Diffusion in Non-Linear Domains

    Författare :Freddie Åström; Michael Felsberg; George Baravdish; Reiner Lenz; Christoph Schnörr; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; image diffusion; variational formulation; denoising; tensor; non-linear;

    Sammanfattning : This dissertation addresses the problem of adaptive image filtering.Although the topic has a long history in the image processing community, researchers continuously present novel methods to obtain ever better image restoration results. LÄS MER

  5. 5. Development and application of rule- and learning-based approaches within the scope of neuroimaging : Tensor voting, tractography and machine learning

    Författare :Daniel Jörgens; Rodrigo Moreno; Örjan Smedby; Chunliang Wang; Jesper Andersson; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; tensor voting; tractography; deep learning; tractogram filtering; diffusion magnetic resonance imaging; tensorröstning; traktografi; djupinlärning; traktogramfiltrering; diffusions-MRT; Applied Medical Technology; Tillämpad medicinsk teknik;

    Sammanfattning : The opportunity to non-invasively probe the structure and function of different parts of the human body makes medical imaging an indispensable tool in clinical diagnostics and related fields of research. Especially neuroscientists rely on modalities like structural or functional Magnetic Resonance Imaging, Computed Tomography or Positron Emission Tomography to study the human brain in vivo. LÄS MER