Expansive competitive learning for kernel vector quantization

Author:

Bacciu Davide,Starita Antonina

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. Competitive learning algorithms for vector quantization;Ahalt;Neural Networks,1990

2. Arias, P., Randall, G., Sapiro, G., 2007. Connecting the out-of-sample and pre-image problems in kernel methods. IEEE Conf. Comput. Vision Pattern Recognition, 2007. CVPR’07, pp. 1–8.

3. Bacciu, D., Starita, A., 2007. A robust bio-inspired clustering algorithm for the automatic determination of unknown cluster number. In: Proc. 2007 Internat. Joint Conf. on Neural Networks. IJCNN’07, IEEE, pp. 1314–1319.

4. Competitive repetition suppression (CoRe) clustering: A biologically inspired learning model with application to robust clustering;Bacciu;IEEE Trans. Neural Networks,2008

5. Bakir, G.H., Weston, J., Schölkopf, B., 2003. Learning to find pre-images. In: Adv. Neural Information Process. Systems.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Genetic Simulated Annealing-Based Kernel Vector Quantization Algorithm;International Journal of Pattern Recognition and Artificial Intelligence;2017-02-27

2. Kernel and graph: Two approaches for nonlinear competitive learning clusterin;Frontiers of Electrical and Electronic Engineering;2012-02-15

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