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» Adaptive Weighting of Local Classifiers by Particle Filter
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AMC
2007
154views more  AMC 2007»
13 years 7 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
INFOCOM
2009
IEEE
14 years 2 months ago
Adaptive Early Packet Filtering for Defending Firewalls Against DoS Attacks
—A major threat to data networks is based on the fact that some traffic can be expensive to classify and filter as it will undergo a longer than average list of filtering rule...
Adel El-Atawy, Ehab Al-Shaer, Tung Tran, Raouf Bou...
TIP
2002
169views more  TIP 2002»
13 years 7 months ago
On the origin of the bilateral filter and ways to improve it
Abstract--Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this field are the ability to refer it to a w...
Michael Elad
ICIP
2005
IEEE
14 years 9 months ago
Adaptive edge enhancement using a neurodynamical model of visual attention
A new approach for selective edge enhancement using unsharp masking is presented. This is based on the premise that biological vision and image reproduction share common principle...
Francesca Gasparini, Silvia Corchs, Raimondo Schet...
CVPR
2010
IEEE
12 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu