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Unsupervised nonparametric detection of ...

Langovoy, Mikhail A....

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Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory by Langovoy, Mikhail A. ( Author )

Content Provider	Lemonjar Open Access
Publisher	N.A
Publication Date	31-07-2023
Summary	We develop an unsupervised, nonparametric, and scalable statistical learning method for detection of unknown objects in noisy images. The method uses results from percolation theory and random graph theory. We present an algorithm that allows to detect objects of unknown shapes and sizes in the presence of nonparametric noise of unknown level. The noise density is assumed to be unknown and can be very irregular. The algorithm has linear complexity and exponential accuracy and is appropriate for real-time systems. We prove strong consistency and scalability of our method in this setup with minimal assumptions.
ISBN	-
Item Type	Article
File Type	pdf
File Size	37.08 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/1102.5019

Citation

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AMA 11th EditionReferences

Langovoy, Mikhail A.. Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory. N.A. July 31, 2023. Accessed September 19, 2024. https://online.provdatabase.com/cite/2686

APA 7th EditionReferences

Langovoy, Mikhail A.. (2023). Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory. N.A. https://online.provdatabase.com/cite/2686

Chicago 17th EditionReferences

Langovoy, Mikhail A.. Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory. N.A. 2023. https://online.provdatabase.com/cite/2686

HarvardReferences

Langovoy, Mikhail A.. (2023). Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory. [Online]. N.A. Available from: https://online.provdatabase.com/cite/2686. (Accessed 19 September 2024).

Harvard AustraliaReferences

Langovoy, Mikhail A., 2023, Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory, N.A, viewed 19 September 2024, <https://online.provdatabase.com/cite/2686>

MLA 9th EditionWorks Cited

Langovoy, Mikhail A.. Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory. N.A, 2023. PROV Database, https://online.provdatabase.com/cite/2686.

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