Asymptotic stability of equilibrium points of mean shift algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s10994-014-5435-2.pdf
Reference23 articles.
1. Aliyari Ghassabeh, Y. (2013). On the convergence of the mean shift algorithm in the one-dimensional space. Pattern Recognition Letters, 34(12), 1423–1427.
2. Aliyari Ghassabeh, Y., Linder, T., & Takahara, G. (2012a, Apil). On the convergence and applications of mean shift type algorithms. In Proceedings of 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Montreal, Canada.
3. Aliyari Ghassabeh, Y., Linder, T., & Takahara, G. (2012b, May) On noisy source vector quantization via a subspace constrained mean shift algorithm. In Proceesing of 26th Biennial Symposium on Communications (QBSC), Kingston, Canada.
4. Aliyari Ghassabeh, Y., Linder, T., & Takahara, G. (2013). On some convergence properties of the subspace constrained mean shift. Pattern Recognition, 46(11), 3140–3147.
5. Antsaklis, P. J., & Michel, A. N. (2006). Linear systems. Berlin: Springer.
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