A probabilistic spectral framework for grouping and segmentation

Robles-Kelly, Antonio and Hancock, Edwin R 2004, A probabilistic spectral framework for grouping and segmentation, Pattern recognition, vol. 37, no. 7, pp. 1387-1405, doi: 10.1016/j.patcog.2003.10.017.

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Title A probabilistic spectral framework for grouping and segmentation
Author(s) Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Hancock, Edwin R
Journal name Pattern recognition
Volume number 37
Issue number 7
Start page 1387
End page 1405
Total pages 19
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2004-07
ISSN 0031-3203
Keyword(s) Graph-spectral methods
Maximum likelihood
Perceptual grouping
Motion segmentation
Science & Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Language eng
DOI 10.1016/j.patcog.2003.10.017
Indigenous content off
Field of Research 0899 Other Information and Computing Sciences
0906 Electrical and Electronic Engineering
0801 Artificial Intelligence and Image Processing
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2003, Pattern Recognition Society
Persistent URL http://hdl.handle.net/10536/DRO/DU:30126832

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