14.2.2.2 One Class Clustering, One Class Classification

He, C.[Chao], Girolami, M.A.[Mark A.], Ross, G.[Gary],
Employing optimized combinations of one-class classifiers for automated currency validation,
PR(37), No. 6, June 2004, pp. 1085-1096.
Elsevier DOI 0405
BibRef

Wang, D., Yeung, D.S.[Daniel S.], Tsang, E.C.C.[Eric C.C.],
Structured One-Class Classification,
SMC-B(36), No. 6, December 2006, pp. 1283-1295.
IEEE DOI 0701
BibRef

Angiulli, F.[Fabrizio],
Prototype-Based Domain Description for One-Class Classification,
PAMI(34), No. 6, June 2012, pp. 1131-1144.
IEEE DOI 1205
PDD is a nearest-neighbor classifier. BibRef

Kwak, N.J.[No-Jun], Oh, J.Y.[Ji-Yong],
Feature extraction for one-class classification problems: Enhancements to biased discriminant analysis,
PR(42), No. 1, January 2009, pp. 17-26.
Elsevier DOI 0809
Classification; One-class; One-against-rest; BDA BibRef

Oh, J.Y.[Ji-Yong], Kwak, N.J.[No-Jun],
Generalized mean for robust principal component analysis,
PR(54), No. 1, 2016, pp. 116-127.
Elsevier DOI 1603
Generalized mean BibRef

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 BibRef

Krell, M.M.[Mario Michael], Wöhrle, H.[Hendrik],
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 BibRef

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

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 .