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BibRef
Angiulli, F.[Fabrizio],
Prototype-Based Domain Description for One-Class Classification,
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IEEE DOI
1205
PDD is a nearest-neighbor classifier.
BibRef
Kwak, N.J.[No-Jun],
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PR(42), No. 1, January 2009, pp. 17-26.
Elsevier DOI
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Classification; One-class; One-against-rest; BDA
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Generalized mean for robust principal component analysis,
PR(54), No. 1, 2016, pp. 116-127.
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Generalized mean
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Oh, J.H.[Jae Hyun],
Kwak, N.J.[No-Jun],
Generalization of linear discriminant analysis using -norm,
PRL(34), No. 6, 15 April 2013, pp. 679-685.
Elsevier DOI
1303
LDA; Norm; Outlier; LDA- L p
BibRef
Oh, J.Y.[Ji-Yong],
Kwak, N.J.[No-Jun],
Lee, M.[Minsik],
Choi, C.H.[Chong-Ho],
Generalized Mean For Feature Extraction in One-Class Classification
Problems,
PR(46), No. 12, 2013, pp. 3328-3340.
Elsevier DOI
1307
Generalized mean
See also Feature Extraction for Classification Problems and Its Application to Face Recognition.
BibRef
Mack, B.[Benjamin],
Roscher, R.[Ribana],
Waske, B.[Björn],
Can I Trust My One-Class Classification?,
RS(6), No. 9, 2014, pp. 8779-8802.
DOI Link
1410
BibRef
Krawczyk, B.[Bartosz],
Wozniak, M.[Michal],
Herrera, F.[Francisco],
On the usefulness of one-class classifier ensembles for decomposition
of multi-class problems,
PR(48), No. 12, 2015, pp. 3969-3982.
Elsevier DOI
1509
One-class classification
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Krell, M.M.[Mario Michael],
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New one-class classifiers based on the origin separation approach,
PRL(53), No. 1, 2015, pp. 93-99.
Elsevier DOI
1502
Origin separation approach
BibRef
Liu, J.C.[Jia-Chen],
Miao, Q.G.[Qi-Guang],
Sun, Y.[Yanan],
Song, J.F.[Jian-Feng],
Quan, Y.[Yining],
Fast structural ensemble for One-Class Classification,
PRL(80), No. 1, 2016, pp. 179-187.
Elsevier DOI
1609
One-class classifier
BibRef
Ao, Z.[Zurui],
Su, Y.[Yanjun],
Li, W.[Wenkai],
Guo, Q.H.[Qing-Hua],
Zhang, J.[Jing],
One-Class Classification of Airborne LiDAR Data in Urban Areas Using
a Presence and Background Learning Algorithm,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Son, Y.[Youngdoo],
Lee, S.[Sujee],
Park, S.[Saerom],
Lee, J.W.[Jae-Wook],
Learning representative exemplars using one-class Gaussian process
regression,
PR(74), No. 1, 2018, pp. 185-197.
Elsevier DOI
1711
Representative, exemplars
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Bicego, M.[Manuele],
Figueiredo, M.A.T.[Mário A.T.],
Clustering via binary embedding,
PR(83), 2018, pp. 52-63.
Elsevier DOI
1808
Clustering, Binary embedding, Finite mixture models,
Biclustering, One-class classification
BibRef
Yu, J.[Jaehong],
Kang, S.[Seokho],
Clustering-based proxy measure for optimizing one-class classifiers,
PRL(117), 2019, pp. 37-44.
Elsevier DOI
1901
One-class classification, One-class classifier,
Hyperparameter optimization, Proxy measure, Model validation,
Pseudo non-target class
BibRef
Perera, P.,
Patel, V.M.,
Learning Deep Features for One-Class Classification,
IP(28), No. 11, November 2019, pp. 5450-5463.
IEEE DOI
1909
Feature extraction, Training, Task analysis, Training data,
Anomaly detection, Authentication, Deep learning,
deep learning
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Sansone, E.[Emanuele],
de Natale, F.G.B.[Francesco G. B.],
Zhou, Z.H.[Zhi-Hua],
Efficient Training for Positive Unlabeled Learning,
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IEEE DOI
1910
Learn a classifier for a class of interest from an unlabeled data set.
Semisupervised learning, Training, Task analysis, Kernel,
Optimization, Statistical learning, Scalability, Machine learning,
kernel methods
BibRef
Choi, S.,
Chang, I.,
Teoh, A.B.J.,
One-class Random Maxout Probabilistic Network for Mobile Touchstroke
Authentication,
ICPR18(3359-3364)
IEEE DOI
1812
Authentication, Probabilistic logic, Training,
Biometrics (access control), Feature extraction, Random maxout
BibRef
Kozerawski, J.,
Turk, M.,
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition,
CVPR18(3446-3455)
IEEE DOI
1812
Training, Support vector machines, Training data, Task analysis,
Convolutional neural networks, Benchmark testing
BibRef
Shahin Shamsabadi, A.,
Haddadi, H.,
Cavallaro, A.,
Distributed One-Class Learning,
ICIP18(4123-4127)
IEEE DOI
1809
Training, Image reconstruction, Privacy, Training data,
Feature extraction, Image edge detection, Data privacy,
Privacy
BibRef
Mygdalis, V.,
Iosifidis, A.,
Tefas, A.,
Pitas, I.,
One class classification applied in facial image analysis,
ICIP16(1644-1648)
IEEE DOI
1610
Computational modeling
BibRef
Aghdam, H.H.[Hamed Habibi],
Heravi, E.J.[Elnaz Jahani],
Puig, D.[Domenec],
A New One Class Classifier Based on Ensemble of Binary Classifiers,
CAIP15(II:242-253).
Springer DOI
1511
BibRef
Hadjadji, B.[Bilal],
Chibani, Y.[Youcef],
Guerbai, Y.[Yasmine],
Multiple One-Class Classifier Combination for Multi-class
Classification,
ICPR14(2832-2837)
IEEE DOI
1412
Accuracy
BibRef
Hadjadji, B.[Bilal],
Chibani, Y.[Youcef],
Nemmour, H.[Hassiba],
Fuzzy Integral Combination of One-Class Classifiers Designed for
Multi-class Classification,
ICIAR14(I: 320-328).
Springer DOI
1410
BibRef
Wang, Q.H.[Qing-Hua],
Lopes, L.S.[Luís Seabra],
Tax, D.M.J.[David M.J.],
Visual Object Recognition Through One-Class Learning,
ICIAR04(I: 463-470).
Springer DOI
0409
BibRef
Tax, D.M.J.,
Muller, K.R.,
A Consistency-Based Model Selection for One-Class Classification,
ICPR04(III: 363-366).
IEEE DOI
0409
See also Component-Based Discriminative Classification for Hidden Markov Models.
BibRef
Hocquet, S.[Sylvain],
Ramel, J.Y.[Jean-Yves],
Carbot, H.[Hubert],
Estimation of User Specific Parameters in One-class Problems,
ICPR06(IV: 449-452).
IEEE DOI
0609
BibRef
Ilonen, J.,
Paalanen, P.,
Kamarainen, J.K.,
Kalviainen, H.,
Gaussian mixture pdf in one-class classification: computing and
utilizing confidence values,
ICPR06(II: 577-580).
IEEE DOI
0609
BibRef
Ercil, A.,
Buke, B.,
One class classification using implicit polynomial surface fitting,
ICPR02(II: 152-155).
IEEE DOI
0211
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
High Dimensional Data, Hyperspectral Data, Hyper-Spectral Data Classification .