Zobrazeno 1 - 4
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pro vyhledávání: '"Carol Sadek"'
Publikováno v:
IEEE BigData
In our increasingly connected digital world, many sensors are connected to each other. Each sensor provides several features and data from those features. As a result, the data sets created from Internet of Things (IoT) applications can consist of hu
Autor:
Sergiy Peredriy, Hansi Jiang, Seunghyun Kong, Haoyu Wang, Carol Sadek, Arin Chaudhuri, Wenhao Hu, Deovrat Kakde, Yuewei Liao
Publikováno v:
Pattern Recognition. 111:107662
Support vector data description (SVDD) is a popular anomaly detection technique. The computation of the SVDD classifier requires a kernel function, for which the Gaussian kernel is a common choice. The Gaussian kernel has a bandwidth parameter, and i
This paper presents a method for hyperspectral image classification that uses support vector data description (SVDD) with the Gaussian kernel function. SVDD has been a popular machine learning technique for single-class classification, but selecting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5057e289f83307993365954389953b54
Publikováno v:
ICDM Workshops
Support vector data description (SVDD) is a popular technique for detecting anomalies. The SVDD classifier partitions the whole space into an inlier region, which consists of the region near the training data, and an outlier region, which consists of