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IJCNN
2006
IEEE
14 years 2 months ago
Co-training using RBF Nets and Different Feature Splits
—In this paper we propose a new graph-based feature splitting algorithm maxInd, which creates a balanced split maximizing the independence between the two feature sets. We study ...
Felix Feger, Irena Koprinska
IPPS
1997
IEEE
14 years 8 days ago
Designing Efficient Distributed Algorithms Using Sampling Techniques
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
Sanguthevar Rajasekaran, David S. L. Wei
PPSN
2004
Springer
14 years 2 months ago
A Hybrid GRASP - Evolutionary Algorithm Approach to Golomb Ruler Search
We consider the problem of finding small Golomb rulers, a hard combinatorial optimization task. This problem is here tackled by means of a hybrid evolutionary algorithm (EA). This...
Carlos Cotta, Antonio J. Fernández
JIFS
2008
155views more  JIFS 2008»
13 years 8 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
JUCS
2010
265views more  JUCS 2010»
13 years 7 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada