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» An Effective Learning Method for Max-Min Neural Networks
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ICIP
2009
IEEE
16 years 5 months ago
Corner-based Background Segmentation Using Adaptive Resonance Theory
A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, trafic monitoring and ...
IJCNN
2008
IEEE
15 years 10 months ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
ESWA
2006
165views more  ESWA 2006»
15 years 4 months ago
Optimal ensemble construction via meta-evolutionary ensembles
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
YongSeog Kim, W. Nick Street, Filippo Menczer
SIGMOD
2006
ACM
129views Database» more  SIGMOD 2006»
16 years 4 months ago
InMAF: indexing music databases via multiple acoustic features
Music information processing has become very important due to the ever-growing amount of music data from emerging applications. In this demonstration, we present a novel approach ...
Jialie Shen, John Shepherd, Anne H. H. Ngu
ICIC
2005
Springer
15 years 10 months ago
Leaf Recognition Based on the Combination of Wavelet Transform and Gaussian Interpolation
: In this paper, a new approach for leaf recognition using the result of segmentation of leaf’s skeleton based on the combination of wavelet transform (WT) and Gaussian interpola...
Xiao Gu, Ji-Xiang Du, Xiaofeng Wang