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International Journal of Neural Systems, ISSN 0129-0657, 11/2015, Volume 25, Issue 7, p. 1550029
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2016, Volume 189, pp. 1 - 10
Journal Article
Pattern recognition, ISSN 0031-3203, 2014, Volume 47, Issue 6, pp. 2165 - 2177
.... Boundary-based methods like One-Class Support Vector Machine (OSVM) preferentially separates the data from outliers along the large variance directions... 
Outlier detection | Support Vector Machine | Covariance | One-class classification | NOVELTY DETECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Training | Support vector machines | Construction | Classification | Pattern recognition | Boundaries | Variance | Optimization
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 10/2018, Volume 310, pp. 223 - 235
.... Among the variety of methods and algorithms proposed to deal with this problem, boundary based methods include One-class support vector machine (OC-SVM... 
One-class SVM | Ramp loss function | Non-convex problem | Anomaly detection | INTRUSION DETECTION | ALGORITHM | CLASSIFICATION | NETWORKS | DETECTION SYSTEM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | FEATURE-SELECTION | OPTIMIZATION | Data mining | Analysis | Algorithms
Journal Article
Pattern recognition, ISSN 0031-3203, 02/2018, Volume 74, pp. 198 - 211
•We propose a novel self-adaptive data shifting based method for one-class SVM (OCSVM) hyperparameter selection, which has a significant influence on OCSVM performance... 
One-class SVM | Hyperparameter selection | Data shifting | NOVELTY DETECTION APPROACH | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | GAUSSIAN KERNEL | CLASSIFIERS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Pattern recognition, ISSN 0031-3203, 2018, Volume 84, pp. 152 - 164
Journal Article
Pattern recognition, ISSN 0031-3203, 2019, Volume 91, pp. 308 - 321
•An incremental One-Class Covariance-guided Support Vector Machine is proposed.•The proposed classifier puts more emphasis on the low variance directions while keeping the basic formulation of One-Class Support Vector Machine untouched... 
Incremental learning | Support vector machine | Low variance directions | One-Class classification | NOVELTY DETECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Pattern recognition, ISSN 0031-3203, 06/2018, Volume 78, pp. 56 - 78
....•Experimental results show our method performs better than other related methods. In the problem of one-class classification, one-class classifier (OCC... 
Dirichlet process mixture | Gibbs sampling | One-class support vector machine | One-class classifiers | TIME-SERIES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEJ transactions on electrical and electronic engineering, ISSN 1931-4973, 03/2019, Volume 14, Issue 3, pp. 449 - 456
...‐and‐conquer strategy to improve the one‐class support vector machine (SVM). The idea is to build a piecewise linear separation boundary in the feature space to separate... 
winner‐take‐all autoencoder | one‐class classification | kernel composition | support vector machine | one-class classification | winner-take-all autoencoder | OUTLIERS | ENGINEERING, ELECTRICAL & ELECTRONIC | Electromagnetic fields | Analysis | Kernels | Support vector machines | Classifiers | Partitions | Data points | Classification
Journal Article
Pattern recognition, ISSN 0031-3203, 08/2015, Volume 48, Issue 8, pp. 2474 - 2488
.... Moreover, we present a new tracking approach with different support vector machines (SVMs) and a novel... 
Regression | SVM | Object tracking | Binary classification | One-class classification | MEAN SHIFT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | VISUAL TRACKING | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Reliability, ISSN 0018-9529, 06/2014, Volume 63, Issue 2, pp. 455 - 467
Journal Article
Computers & industrial engineering, ISSN 0360-8352, 2019, Volume 130, pp. 772 - 778
•Approximate training method for one-class support vector machine is presented.•It selects instances likely to be support vectors using expected margin... 
Expected margin | Approximate training | Data selection | Support vector data description | One-class support vector machine | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | AREA | NOVELTY DETECTION | ENGINEERING, INDUSTRIAL | CONTROL CHARTS | ONE-CLASS CLASSIFICATION
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 08/2011, Volume 49, Issue 8, pp. 2936 - 2944
This paper presents an unsupervised hyperspectral image segmentation with a new subtractive-clustering-based similarity segmentation and a novel cluster validation method using one-class support vector (SV) machine (OC-SVM... 
Training | Image segmentation | Hyperspectral images | subtractive clustering | Current measurement | one-class support vector (SV) machines (OC-SVMs) | phase correlation | segmentation | Kernel | unsupervised classification | Pixel | Hyperspectral imaging | GEOCHEMISTRY & GEOPHYSICS | REMOTE SENSING | FEATURE-EXTRACTION | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Research | Vector analysis | Clustering (Computers) | Methods
Journal Article
Pattern recognition letters, ISSN 0167-8655, 1999, Volume 20, Issue 11-13, pp. 1191 - 1199
This paper shows the