SVDD-Based Pattern Denoising
Work
Year: 2007
Type: article
Abstract: The support vector data description (SVDD) is one of the best-known one-class support vector learning methods, in which one tries the strategy of using balls defined on the feature space in order to d... more
Source: Neural Computation
Institutions Korea University, Samsung (South Korea), Hong Kong University of Science and Technology, University of Hong Kong
Cites: 27
Cited by: 47
Related to: 10
FWCI: 2.996
Citation percentile (by year/subfield): 94.88
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green