Sökning: "tensor"

Visar resultat 1 - 5 av 195 avhandlingar innehållade ordet tensor.

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

    Detta är en avhandling från Matematiska institutionen

    Författare :Berkant Savas; Linköpings universitet.; Linköpings universitet.; [2008]
    Nyckelord :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; ; MATHEMATICS Applied mathematics Numerical analysis; MATEMATIK Tillämpad matematik 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

    Detta är en avhandling från Matematiska institutionen

    Författare :Ingemar Eriksson; Linköpings universitet.; Linköpings universitet.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Einstein-Maxwell; graviational energy; superenergy; Bel tensor; Chevreton tensor; conservation laws; Conformal Einstein space; NATURAL SCIENCES Physics Other physics Theory of relativity; gravitation; NATURVETENSKAP Fysik Övrig fysik 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

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Carl-Fredrik Westin; Linköpings universitet.; Linköpings universitet.; [1991]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 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

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Freddie Åström; Linköpings universitet.; Linköpings universitet.; Linköpings universitet.; [2015]
    Nyckelord :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. Automated feature detection in multidimensional images : a unified tensor approach

    Detta är en avhandling från Linköping : Linköpings universitet

    Författare :Einar Heiberg; Linköpings universitet.; Linköpings universitet.; [2001]
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICINE; MEDICIN;

    Sammanfattning : Manual identification of structures and features in multidimensional images is at best time consuming and operator dependent. Feature identification need to be accurate, repeatable and quantitative. This thesis presents a unified approach for automatic feature detection in multidimensional scalar and vector fields. LÄS MER