A maximum likelihood framework for grouping and segmentation

Robles-Kelly, Antonio and Hancock, ER 2001, A maximum likelihood framework for grouping and segmentation, in ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION, SPRINGER-VERLAG BERLIN,, pp. 251-266.


Title A maximum likelihood framework for grouping and segmentation
Author(s) Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Hancock, ER
Conference name 3rd International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Conference location SOPHIA ANTIPOLIS, FRANCE
Conference dates 2001/09/03 - 2001/09/05
Title of proceedings ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION
Editor(s) Figueiredo, MAT
Zerubia, J
Jain, AK
Publication date 2001
Series Lecture Notes in Computer Science
Start page 251
End page 266
Total pages 16
Publisher SPRINGER-VERLAG BERLIN
Keyword(s) Science & Technology
Technology
Physical Sciences
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Mathematics, Applied
Imaging Science & Photographic Technology
Statistics & Probability
Computer Science
Mathematics
ORGANIZATION
ISBN 3-540-42523-3
ISSN 0302-9743
1611-3349
Language eng
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30127502

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