On the Efficiency of Second-Order d-Dimensional Product Kernels-Reference-Cited by-同舟云学术

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On the Efficiency of Second-Order d-Dimensional Product Kernels

Published:2015 Issue: Volume: Page:31-40
ISSN:
Container-title:Transactions on Engineering Technologies
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Author:

Oyegue F. O.,Ogbonmwan S. M.,Ekhosuehi V. U.

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-017-7236-5_3

Reference24 articles.

1. Akaiki BA (1954) An approximation to the density function. Ann Inst Stat Math 6:127–132

2. Bowman AW, Azzalini A (1997) Applied smoothing technique for data analysis: the kernel approach with s-plus illustration. Oxford University Press, Oxford

3. Brox T, Rosenhahn B, Kersting U, Cremers D (2006) Nonparametric density estimation for human pose tracking. Lect Notes Comput Sci Pattern Recognit 4174:546–555

4. Cacoullos T (1966) Estimation of a multivariate density. Ann Inst Stat Math 18:178–189

5. Devroye L, Gjorfi L (1984) Nonparametric density estimation: the L1 view. Wiley, New York

Cited by 1 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. KDE-Track: An Efficient Dynamic Density Estimator for Data Streams;IEEE Transactions on Knowledge and Data Engineering;2017-03-01

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