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IJCV
2008
223views more  IJCV 2008»
13 years 8 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
CVBIA
2005
Springer
14 years 2 months ago
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images
Standard image based segmentation approaches perform poorly when there is little or no contrast along boundaries of different regions. In such cases, segmentation is largely perfor...
Kilian M. Pohl, John W. Fisher III, Ron Kikinis, W...
TMI
2002
155views more  TMI 2002»
13 years 8 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...
ISBI
2004
IEEE
14 years 9 months ago
Intermodality Nonrigid Breast-Image Registration
We investigated nonrigid co-registration of PET and MR breast images to improve diagnostic specificity in difficult-to-interpret mammograms, and ultimately to avoid biopsy. A defo...
Ioana Coman, Andrzej Król, David H. Feiglin...
ICPR
2010
IEEE
14 years 2 months ago
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
Francesco Ciompi, Oriol Pujol, Petia Radeva