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» Some new iterative methods with three-order convergence
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CSDA
2007
105views more  CSDA 2007»
13 years 7 months ago
GSA-based maximum likelihood estimation for threshold vector error correction model
The log-likelihood function of threshold vector error correction models is neither differentiable, nor smooth with respect to some parameters. Therefore, it is very difficult to ...
Zheng Yang, Zheng Tian, Zixia Yuan
ICPR
2010
IEEE
13 years 6 months ago
Incremental Training of Multiclass Support Vector Machines
We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
Symeon Nikitidis, Nikos Nikolaidis, Ioannis Pitas
ECCV
2008
Springer
13 years 9 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
CP
2005
Springer
14 years 1 months ago
Tree Decomposition with Function Filtering
Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
Martí Sánchez, Javier Larrosa, Pedro...
IWDW
2004
Springer
14 years 26 days ago
Fingerprinting Curves
This paper presents a new method for robust data hiding in curves and highlights potential applications including digital fingerprinting of map document for trace and track purpos...
Hongmei Gou, Min Wu