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» Feature versus model based noise robustness
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ICASSP
2011
IEEE
12 years 11 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
WSC
1997
13 years 9 months ago
Panel on Transportation and Logistics Modeling
Transportation and logistics are fertile areas for modeling. Simulation has traditionally been used in warehousing and inside the distribution center or processing hub in the truc...
John S. Carson II, Mani S. Manivannan, Mark K. Bra...
ECCV
2004
Springer
14 years 1 months ago
Human Detection Based on a Probabilistic Assembly of Robust Part Detectors
We describe a novel method for human detection in single images which can detect full bodies as well as close-up views in the presence of clutter and occlusion. Humans are modeled ...
Krystian Mikolajczyk, Cordelia Schmid, Andrew Ziss...
BMCBI
2007
114views more  BMCBI 2007»
13 years 7 months ago
Gene models from ESTs (GeneModelEST): an application on the Solanum lycopersicum genome
Background: The structure annotation of a genome is based either on ab initio methodologies or on similaritiy searches versus molecules that have been already annotated. Ab initio...
Nunzio D'Agostino, Alessandra Traini, Luigi Frusci...
CVPR
2004
IEEE
14 years 9 months ago
Multibody Motion Segmentation Based on Simulated Annealing
The problem of multibody motion segmentation is an important and challenging issue in computer vision. In this paper, a novel segmentation technique based on simulated annealing (...
Zhimin Fan, Jie Zhou, Ying Wu