*Rätsch, G.[Gunnar]*,
*Mika, S.[Sebastian]*,
*Schölkopf, B.[Bernhard]*,
*Müller, K.R.[Klaus-Robert]*,

**Constructing Boosting Algorithms from SVMs:
An Application to One-Class Classification**,

*PAMI(24)*, No. 9, September 2002, pp. 1184-1199.

IEEE Abstract.
**0209**

Equivalence of SVM (
See also Support Vector Machines. ) and boosting-like algorithm
(
See also Boosting Performance in Neural Networks. ).
BibRef

*Camastra, F.[Francesco]*,
*Verri, A.[Alessandro]*,

**A Novel Kernel Method for Clustering**,

*PAMI(27)*, No. 5, May 2005, pp. 801-804.

IEEE Abstract.
**0501**

Inspired by k-Means, iterative refinement of culster by a one-class SVM.
BibRef

*Tran, Q.A.[Quang-Anh]*,
*Li, X.[Xing]*,
*Duan, H.X.[Hai-Xin]*,

**Efficient performance estimate for one-class support vector machine**,

*PRL(26)*, No. 8, June 2005, pp. 1174-1182.

Elsevier DOI
**0506**

BibRef

*Muńoz, A.[Alberto]*,
*Moguerza, J.M.[Javier M.]*,

**Estimation of High-Density Regions Using One-Class Neighbor Machines**,

*PAMI(28)*, No. 3, March 2006, pp. 476-480.

IEEE DOI
**0602**

BibRef

*Camci, F.[Fatih]*,
*Chinnam, R.B.[Ratna Babu]*,

**General support vector representation machine for one-class
classification of non-stationary classes**,

*PR(41)*, No. 10, October 2008, pp. 3021-3034.

Elsevier DOI
**0808**

Novelty detection; One-class classification; Support vector machine;
Non-stationary classes; Non-stationary processes; Online training;
Outlier detection
BibRef

*Choi, Y.S.[Young-Sik]*,

**Least squares one-class support vector machine**,

*PRL(30)*, No. 13, 1 October 2009, pp. 1236-1240.

Elsevier DOI
**0909**

LS (least squares) one-class SVM; Proximity measure; Relevance
ranking; One-class SVM (support vector machine)
BibRef

*Munoz-Mari, J.*,
*Bovolo, F.*,
*Gomez-Chova, L.*,
*Bruzzone, L.*,
*Camp-Valls, G.*,

**Semisupervised One-Class Support Vector Machines for Classification of
Remote Sensing Data**,

*GeoRS(48)*, No. 8, August 2010, pp. 3188-3197.

IEEE DOI
**1008**

BibRef

*Hansen, M.S.[Michael Sass]*,
*Sjostrand, K.[Karl]*,
*Larsen, R.[Rasmus]*,

**On the regularization path of the support vector domain description**,

*PRL(31)*, No. 13, 1 October 2010, pp. 1919-1923.

Elsevier DOI
**1003**

Support vector domain description (SVDD); Regularization path;
One-class classifier; Novelty detection
BibRef

*Hansen, M.S.[Michael Sass]*,
*Sjöstrand, K.[Karl]*,
*Ólafsdóttir, H.[Hildur]*,
*Larsson, H.B.W.[Henrik B. W.]*,
*Stegmann, M.B.[Mikkel B.]*,
*Larsen, R.[Rasmus]*,

**Robust Pseudo-hierarchical Support Vector Clustering**,

*SCIA07*(808-817).

Springer DOI
**0706**

BibRef

*Huang, G.X.[Guang-Xin]*,
*Chen, H.[Huafu]*,
*Zhou, Z.L.[Zhong-Li]*,
*Yin, F.[Feng]*,
*Guo, K.[Ke]*,

**Two-class support vector data description**,

*PR(44)*, No. 2, February 2011, pp. 320-329.

Elsevier DOI
**1011**

Support vector data description; D-SVDD; TC-SVDD; One-class classification
BibRef

*Bilgin, G.*,
*Erturk, S.*,
*Yildirim, T.*,

**Segmentation of Hyperspectral Images via Subtractive Clustering and
Cluster Validation Using One-Class Support Vector Machines**,

*GeoRS(49)*, No. 8, August 2011, pp. 2936-2944.

IEEE DOI
**1108**

BibRef

*Li, Y.H.[Yu-Hua]*,

**Selecting training points for one-class support vector machines**,

*PRL(32)*, No. 11, 1 August 2011, pp. 1517-1522.

Elsevier DOI
**1108**

One-class support vector machines; Training set selection; Extreme
points; Novelty detection
BibRef

*Tohmé, M.[Mireille]*,
*Lengellé, R.[Régis]*,

**Maximum Margin One Class Support Vector Machines for multiclass
problems**,

*PRL(32)*, No. 13, 1 October 2011, pp. 1652-1658.

Elsevier DOI
**1109**

Multiclass; Support Vector Machines; Classification; Detection
BibRef

*Cyganek, B.[Boguslaw]*,

**One-Class Support Vector Ensembles for Image Segmentation and
Classification**,

*JMIV(42)*, No. 2-3, February 2012, pp. 103-117.

WWW Link.
**1202**

BibRef

*Lian, H.[Heng]*,

**On feature selection with principal component analysis for one-class
SVM**,

*PRL(33)*, No. 9, 1 July 2012, pp. 1027-1031.

Elsevier DOI
**1202**

Dimension reduction; Image retrieval; Support vector machine
BibRef

*Junejo, I.N.[Imran N.]*,
*Bhutta, A.A.[Adeel A.]*,
*Foroosh, H.[Hassan]*,

**Single-class SVM for dynamic scene modeling**,

*SIViP(7)*, No. 1, January 2013, pp. 45-52.

WWW Link.
**1301**

BibRef

*Jaberi, M.[Maryam]*,
*Pensky, M.[Marianna]*,
*Foroosh, H.[Hassan]*,

**SWIFT: Sparse Withdrawal of Inliers in a First Trial**,

*CVPR15*(4849-4857)

IEEE DOI
**1510**

reduces the problem to sampling an extremely sparse subset of the
original population of data in one grab.
edge, line detection or multi-body structure from motion.
BibRef

*di Martino, M.[Matias]*,
*Hernandez, G.[Guzman]*,
*Fiori, M.[Marcelo]*,
*Fernandez, A.[Alicia]*,

**A new framework for optimal classifier design**,

*PR(46)*, No. 8, August 2013, pp. 2249-2255.

Elsevier DOI
**1304**

Class imbalance; One class SVM; F-measure; Recall;
Precision; Fraud detection; Level set method
BibRef

*Fiori, M.[Marcelo]*,
*di Martino, M.[Matias]*,
*Fernández, A.[Alicia]*,

**An optimal multiclass classifier design**,

*ICPR16*(480-485)

IEEE DOI
**1705**

Algorithm design and analysis, Level set, Nickel, Optimization,
Support vector machines, Testing, Training
BibRef

*Lee, C.[Changki]*,

**Pegasos Algorithm for One-Class Support Vector Machine**,

*IEICE(E96-D)*, No. 5, May 2013, pp. 1223-1226.

WWW Link.
**1305**

BibRef

*Di Martino, M.[Matías]*,
*Fernández, A.[Alicia]*,
*Iturralde, P.[Pablo]*,
*Lecumberry, F.[Federico]*,

**Novel classifier scheme for imbalanced problems**,

*PRL(34)*, No. 10, 15 July 2013, pp. 1146-1151.

Elsevier DOI
**1306**

Class imbalance; One class SVM; F-measure; Recall; Precision;
Fraud detection
BibRef

*Khan, N.M.[Naimul Mefraz]*,
*Ksantini, R.[Riadh]*,
*Ahmad, I.S.[Imran Shafiq]*,
*Guan, L.[Ling]*,

**Covariance-guided One-Class Support Vector Machine**,

*PR(47)*, No. 6, 2014, pp. 2165-2177.

Elsevier DOI
**1403**

Covariance
BibRef

*Jumutc, V.*,
*Suykens, J.A.K.[Johan A.K.]*,

**Multi-Class Supervised Novelty Detection**,

*PAMI(36)*, No. 12, December 2014, pp. 2510-2523.

IEEE DOI
**1411**

Algorithm design and analysis
BibRef

*Xiao, Y.*,
*Wang, H.*,
*Xu, W.*,

**Parameter Selection of Gaussian Kernel for One-Class SVM**,

*Cyber(45)*, No. 5, May 2015, pp. 927-939.

IEEE DOI
**1505**

Cybernetics
BibRef

*Dufrenois, F.*,
*Noyer, J.C.*,

**One class proximal support vector machines**,

*PR(52)*, No. 1, 2016, pp. 96-112.

Elsevier DOI
**1601**

Outlier detection
BibRef

*Liu, Y.[Yong]*,
*Zhang, B.[Biling]*,
*Chen, B.[Bin]*,
*Yang, Y.D.[Yan-Dong]*,

**Robust solutions to fuzzy one-class support vector machine**,

*PRL(71)*, No. 1, 2016, pp. 73-77.

Elsevier DOI
**1602**

One-class SVM
BibRef

*Erfani, S.M.[Sarah M.]*,
*Rajasegarar, S.[Sutharshan]*,
*Karunasekera, S.[Shanika]*,
*Leckie, C.[Christopher]*,

**High-dimensional and large-scale anomaly detection using a linear
one-class SVM with deep learning**,

*PR(58)*, No. 1, 2016, pp. 121-134.

Elsevier DOI
**1606**

Anomaly detection
BibRef

*Wu, T.[Tong]*,
*Liang, Y.C.[Yan-Chun]*,
*Varela, R.[Ramiro]*,
*Wu, C.G.[Chun-Guo]*,
*Zhao, G.Z.[Guo-Zhong]*,
*Han, X.S.[Xiao-Song]*,

**Self-adaptive SVDD integrated with AP clustering for one-class
classification**,

*PRL(84)*, No. 1, 2016, pp. 232-238.

Elsevier DOI
**1612**

One-class classifier
BibRef

*Xiao, Y.C.[Ying-Chao]*,
*Wang, H.G.[Huan-Gang]*,
*Xu, W.L.[Wen-Li]*,

**Ramp Loss based robust one-class SVM**,

*PRL(85)*, No. 1, 2017, pp. 15-20.

Elsevier DOI
**1612**

Ramp Loss function
BibRef

*Wang, S.[Siqi]*,
*Liu, Q.A.[Qi-Ang]*,
*Zhu, E.[En]*,
*Porikli, F.M.[Fatih M.]*,
*Yin, J.P.[Jian-Ping]*,

**Hyperparameter selection of one-class support vector machine by
self-adaptive data shifting**,

*PR(74)*, No. 1, 2018, pp. 198-211.

Elsevier DOI
**1711**

One-class SVM
BibRef

*Xue, Y.J.[Yong-Jian]*,
*Beauseroy, P.[Pierre]*,

**Transfer learning for one class SVM adaptation to limited data
distribution change**,

*PRL(100)*, No. 1, 2017, pp. 117-123.

Elsevier DOI
**1712**

BibRef

Earlier:

**Multi-task learning for one-class SVM with additional new features**,

*ICPR16*(1571-1576)

IEEE DOI
**1705**

Transfer learning.
Engines, Feature extraction, Kernel, Sensors,
Support vector machines, Training, Training data,
evolving feature space, multi-task learning, one-class SVM,
outliers, detection
BibRef

*Zhang, W.[Wei]*,
*Du, L.[Lan]*,
*Li, L.[Liling]*,
*Zhang, X.F.[Xue-Feng]*,
*Liu, H.W.[Hong-Wei]*,

**Infinite Bayesian one-class support vector machine based on Dirichlet
process mixture clustering**,

*PR(78)*, 2018, pp. 56-78.

Elsevier DOI
**1804**

Dirichlet process mixture, One-class classifiers,
One-class support vector machine, Gibbs sampling
BibRef

*Sadooghi, M.S.[Mohammad Saleh]*,
*Khadem, S.E.[Siamak Esmaeilzadeh]*,

**Improving one class support vector machine novelty detection scheme
using nonlinear features**,

*PR(83)*, 2018, pp. 14-33.

Elsevier DOI
**1808**

Novelty detection, OC-SVM, Nonlinear feature, Wavelet,
Bearing vibration signal, Entropy
BibRef

*Xing, H.J.[Hong-Jie]*,
*Ji, M.[Man]*,

**Robust one-class support vector machine with rescaled hinge loss
function**,

*PR(84)*, 2018, pp. 152-164.

Elsevier DOI
**1809**

One-class classification, One-class support vector machine,
Hinge loss function, Half-quadratic optimization
BibRef

*Kefi-Fatteh, T.[Takoua]*,
*Ksantini, R.[Riadh]*,
*Kaâniche, M.B.[Mohamed-Bécha]*,
*Bouhoula, A.[Adel]*,

**A novel incremental one-class support vector machine based on low
variance direction**,

*PR(91)*, 2019, pp. 308-321.

Elsevier DOI
**1904**

One-Class classification, Incremental learning,
Support vector machine, Low variance directions
BibRef

IEEE DOI

Feature extraction, Task analysis, Convolutional neural networks, Training, Tuning, Support vector machines, Image recognition, Siamese networks BibRef

*Fragoso, V.*,
*Scheirer, W.*,
*Hespanha, J.*,
*Turk, M.*,

**One-class slab support vector machine**,

*ICPR16*(420-425)

IEEE DOI
**1705**

Kernel, Optimization, Retina, Slabs, Support vector machines, Training, Visualization
BibRef

*Krawczyk, B.[Bartosz]*,
*Wozniak, M.[Michal]*,
*Cyganek, B.[Boguslaw]*,

**Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space
Partitioning**,

*ICPR14*(2838-2843)

IEEE DOI
**1412**

Accuracy
BibRef

*Fritsch, V.[Virgile]*,
*Varoquaux, G.[Gaël]*,
*Poline, J.B.[Jean-Baptiste]*,
*Thirion, B.[Bertrand]*,

**Non-parametric Density Modeling and Outlier-Detection in Medical
Imaging Datasets**,

*MLMI12*(210-217).

Springer DOI
**1211**

BibRef

*Braun, A.[Andreas]*,

**Evaluation of One-Class SVM for Pixel-Based and Segment-Based
Classification in Remote Sensing**,

*PCVIA10*(B:160).

PDF File.
**1009**

BibRef

*Kim, P.J.[Pyo Jae]*,
*Chang, H.J.[Hyung Jin]*,
*Choi, J.Y.[Jin Young]*,

**Fast incremental learning for one-class support vector classifier using
sample margin information**,

*ICPR08*(1-4).

IEEE DOI
**0812**

BibRef

*Labusch, K.[Kai]*,
*Timm, F.[Fabian]*,
*Martinetz, T.[Thomas]*,

**Simple Incremental One-Class Support Vector Classification**,

*DAGM08*(xx-yy).

Springer DOI
**0806**

BibRef

*Martinetz, T.[Thomas]*,

**MinOver Revisited for Incremental Support-Vector-Classification**,

*DAGM04*(187-194).

Springer DOI
**0505**

BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in

Support Vector Machines, SVM, Surveys, Reviews, General .

Last update:Apr 20, 2019 at 12:32:38