Výsledky vyhledávání - "SVM detection"

Akademický článek

Feasibility of Visible/Near Infrared Spectroscopy in order to detect pomace olive oil fraud with LDA and SVM detection methods

Autor: shirin asadian, ahmad banakar, Bahareh Jamshidi

Publikováno v: فناوری‌های جدید در صنعت غذا, Vol 11, Iss 2, Pp 155-171 (2024)

Olive is a Mediterranean fruit that is cultivated mainly for its oil. Extra virgin olive oil has always been the attention and demand of users. Therefore, fraud in virgin and extra virgin olive oils is observed by adding valuable food oils and lower

Externí odkaz: https://doaj.org/article/fd9e6cf19ec84e2dae0238289048a82d

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Akademický článek

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Akademický článek

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Enhanced SVM Detection for Probabilistically-shaped 16QAM with Markov Chain Monte Carlo

Autor: Kun Qiu, Pingping Lei, Jing Zhang, Shaohua Hu, Bi Tang, Feng Yuzhong

Publikováno v: 14th Pacific Rim Conference on Lasers and Electro-Optics (CLEO PR 2020).

We propose and experimentally demonstrate a MCMC-aided SVM for PS-16QAM systems. This method mitigates the inequality in probabilities of PS-16QAM and part fiber nonlinearity, which enable it has a performance gain compared with MAP decision.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a479d6e5aaa93073e7b7d4b1df00fcc5
https://doi.org/10.1364/cleopr.2020.c4f_2

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Conference

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Transfer Learning to Adapt One Class SVM Detection to Additional Features

Autor: Pierre Beauseroy, Yongjian Xue

Publikováno v: 7th International Conference on Pattern Recognition Applications and Methods
7th International Conference on Pattern Recognition Applications and Methods, Jan 2018, Funchal, Portugal. pp.78-85, ⟨10.5220/0006553200780085⟩
ICPRAM

International audience; this paper, we use the multi-task learning idea to solve a problem of detection with one class SVM when new sensors are added to the system. The main idea is to adapt the detection system to the upgraded sensor system. To solv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::726d196a5d4230e9c3f6e49828f94c2a
https://utt.hal.science/hal-02365794

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A gradient-based pixel-domain attack against SVM detection of global image manipulations

Autor: Rongrong Ni, Yao Zhao, Mauro Barni, Xiaolong Li, Zhipeng Chen, Benedetta Tondi

Publikováno v: WIFS

We present a gradient-based attack against SVM-based forensic techniques relying on high-dimensional SPAM features. As opposed to prior work, the attack works directly in the pixel domain even if the relationship between pixel values and SPAM feature

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07c4e859101f082ae32b5d4a5b3e860b
http://hdl.handle.net/11365/1127177

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SVM detection for superposed pulse amplitude modulation in visible light communications

Autor: Youli Yuan, Min Zhang, Dahai Han, Xiongyan Tang, Danshi Wang, Zabih Ghassemlooy, Pengfei Luo

Publikováno v: CSNDSP

A support vector machine (SVM)-based data detection for 8-superposed pulse amplitude modulation in visible light communication is proposed and experimentally demonstrated. In this work, the SVM detector contains three binary classifiers with differen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e1d96fe9046088b75bded56931076d7
https://doi.org/10.1109/csndsp.2016.7573898

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