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» A High Level Merging Tool in Image Segmentation Applications
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IPMI
2005
Springer
14 years 9 months ago
Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations
Information fusion has, in the form of multiple classifier systems, long been a successful tool in pattern recognition applications. It is also becoming increasingly popular in bio...
Torsten Rohlfing, Adolf Pfefferbaum, Edith V. Sull...
ISPA
2007
Springer
14 years 2 months ago
Parallelization Strategies for the Points of Interests Algorithm on the Cell Processor
The Cell processor is a typical example of a heterogeneous multiprocessor-on-chip architecture that uses several levels of parallelism to deliver high performance. Closing the gap ...
Tarik Saidani, Lionel Lacassagne, Samir Bouaziz, T...
RAS
2008
139views more  RAS 2008»
13 years 8 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto
BILDMED
2008
176views Algorithms» more  BILDMED 2008»
13 years 10 months ago
Edge-Preserving Denoising for Segmentation in CT-images
In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In ord...
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Jo...
ICCV
2005
IEEE
14 years 2 months ago
Object Categorization by Learned Universal Visual Dictionary
This paper presents a new algorithm for the automatic recognition of object classes from images (categorization). Compact and yet discriminative appearance-based object class mode...
John M. Winn, Antonio Criminisi, Thomas P. Minka