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MVA
2007
175views Computer Vision» more  MVA 2007»
13 years 9 months ago
Noisy Image Segmentation Based on a Level Set Evolution
In this paper, we propose a new hybrid model for active contour image segmentation, which is able to segment non-uniform noisy images efficiently. The model is a combination betwe...
Khaled Issa, Hiroshi Nagahashi
TITB
2011
217views more  TITB 2011»
13 years 2 months ago
Phase-Based Level Set Segmentation of Ultrasound Images
— Ultrasound images segmentation is a difficult problem due to speckle noise, low contrast and local changes of intensity. Intensity based methods do not perform particularly we...
Ahror Belaid, Djamal Boukerroui, Yves Maingourd, J...
ICML
2008
IEEE
14 years 8 months ago
Random classification noise defeats all convex potential boosters
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
Philip M. Long, Rocco A. Servedio
COLT
2001
Springer
14 years 7 days ago
Smooth Boosting and Learning with Malicious Noise
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...
Rocco A. Servedio
ICCAD
1998
IEEE
64views Hardware» more  ICCAD 1998»
13 years 12 months ago
Energy-efficiency in presence of deep submicron noise
Presented in this paper are 1) information-theoretic lower bounds on energy consumption of noisy digital gates and 2) the concept of noise tolerance via coding for achieving energy...
Rajamohana Hegde, Naresh R. Shanbhag