Description

Image understanding has been playing an increasingly crucial role in vision applications. Sparse models form an important component in image understanding, since the statistics of natural images reveal the presence

Image understanding has been playing an increasingly crucial role in vision applications. Sparse models form an important component in image understanding, since the statistics of natural images reveal the presence of sparse structure. Sparse methods lead to parsimonious models, in addition to being efficient for large scale learning. In sparse modeling, data is represented as a sparse linear combination of atoms from a "dictionary" matrix.

Reuse Permissions
  • 14.02 MB application/pdf

    Download count: 0

    Details

    Contributors
    Date Created
    • 2013
    Resource Type
  • Text
  • Collections this item is in
    Note
    • Partial requirement for: Ph.D., Arizona State University, 2013
      Note type
      thesis
    • Includes bibliographical references (p
    • Field of study: Electrical engineering

    Citation and reuse

    Statement of Responsibility

    by Jayaraman Jayaraman Thiagarajan

    Machine-readable links