-
1
-
-
77958031946
-
Enhanced probabilistic neural network with local decision circles: A robust classifier
-
M. Ahmadlou and H. Adeli, Enhanced probabilistic neural network with local decision circles: A robust classifier, Integr. Comput. Aided Eng. 17(3) (2010) 197-210.
-
(2010)
Integr. Comput. Aided Eng
, vol.17
, Issue.3
, pp. 197-210
-
-
Ahmadlou, M.1
Adeli, H.2
-
3
-
-
79960900589
-
Segmentation of hyperspectral images via subtractive clustering and cluster validation using one-class support vector machines
-
G. Bilgin, S. Erturk and T. Yildirim, Segmentation of hyperspectral images via subtractive clustering and cluster validation using one-class support vector machines, IEEE Trans. Geosci. Remote Sens. 49(8) (2011) 2936-2944.
-
(2011)
IEEE Trans. Geosci. Remote Sens
, vol.49
, Issue.8
, pp. 2936-2944
-
-
Bilgin, G.1
Erturk, S.2
Yildirim, T.3
-
5
-
-
83755173085
-
A novel one-class classification method based on feature analysis and prototype reduction
-
G. G. Cabral and A. L. I. Oliveira, A novel one-class classification method based on feature analysis and prototype reduction, IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC) (2011), pp. 983-988.
-
(2011)
IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC)
, pp. 983-988
-
-
Cabral, G.G.1
Oliveira, A.L.I.2
-
6
-
-
84867677737
-
One-class classification through optimized feature boundaries detection and prototype reduction
-
Lecture Notes in Computer Science
-
G. G. Cabral and A. L. I. Oliveira, One-class classification through optimized feature boundaries detection and prototype reduction, Artificial Neural Networks and Machine Learning (ICANN 2012), Lecture Notes in Computer Science, Vol. 7552 (2012), pp. 693-700.
-
(2012)
Artificial Neural Networks and Machine Learning (ICANN 2012)
, vol.7552
, pp. 693-700
-
-
Cabral, G.G.1
Oliveira, A.L.I.2
-
7
-
-
0031189914
-
Multitask learning: A knowledge-based source of inductive bias
-
R. Caruana, Multitask learning: A knowledge-based source of inductive bias, Mach. Learn. 28(1) (1997) 41-75.
-
(1997)
Mach. Learn
, vol.28
, Issue.1
, pp. 41-75
-
-
Caruana, R.1
-
9
-
-
84886998377
-
Approximate polytope ensemble for one-class classification
-
P. Casale, O. Pujol and P. Radeva, Approximate polytope ensemble for one-class classification, Pattern Recogn. 47(2) (2014) 854-864.
-
(2014)
Pattern Recogn
, vol.47
, Issue.2
, pp. 854-864
-
-
Casale, P.1
Pujol, O.2
Radeva, P.3
-
12
-
-
84902107109
-
Probabilistic novelty detection with support vector machines
-
L. A. Clifton, D. A. Clifton, Y. Zhang, P. Watkinson, L. Tarassenko and H. Yin, Probabilistic novelty detection with support vector machines, IEEE Trans. Reliab. 63(2) (2014) 455-467.
-
(2014)
IEEE Trans. Reliab
, vol.63
, Issue.2
, pp. 455-467
-
-
Clifton, L.A.1
Clifton, D.A.2
Zhang, Y.3
Watkinson, P.4
Tarassenko, L.5
Yin, H.6
-
13
-
-
84863457581
-
One-class support vector ensembles for image segmentation and classification
-
B. Cyganek, One-class support vector ensembles for image segmentation and classification, J. Math. Imag. Vis. 42(2-3) (2012) 103-117.
-
(2012)
J. Math. Imag. Vis
, vol.42
, Issue.2-3
, pp. 103-117
-
-
Cyganek, B.1
-
14
-
-
51449118082
-
Color image segmentation with support vector machines: Applications to road signs detection
-
B. Cyganek, Color image segmentation with support vector machines: Applications to road signs detection, Int. J. Neural Syst. 18(4) (2008) 339-345.
-
(2008)
Int. J. Neural Syst
, vol.18
, Issue.4
, pp. 339-345
-
-
Cyganek, B.1
-
15
-
-
84865792748
-
Structural reliability assessment by local approximation of limit state functions using adaptive markov chain simulation and support vector regression
-
H. Dai, H. Zhang, W. Wang and G. Xue, Structural reliability assessment by local approximation of limit state functions using adaptive markov chain simulation and support vector regression, Comput. Aided Civ. Infrastruct. Eng. 27(9) (2012) 676-686.
-
(2012)
Comput. Aided Civ. Infrastruct. Eng
, vol.27
, Issue.9
, pp. 676-686
-
-
Dai, H.1
Zhang, H.2
Wang, W.3
Xue, G.4
-
16
-
-
79960361245
-
Distributed anomaly detection using 1-class SVM for vertically partitioned data
-
K. Das, K. Bhaduri and P. Votava, Distributed anomaly detection using 1-class SVM for vertically partitioned data, Stat. Anal. Data Min. 4(4) (2011) 393-406.
-
(2011)
Stat. Anal. Data Min
, vol.4
, Issue.4
, pp. 393-406
-
-
Das, K.1
Bhaduri, K.2
Votava, P.3
-
17
-
-
84881077165
-
One class random forests
-
C. Désir, S. Bernard, C. Petitjean and L. Heutte, One class random forests, Pattern Recogn. 46(12) (2013) 3490-3506.
-
(2013)
Pattern Recogn
, vol.46
, Issue.12
, pp. 3490-3506
-
-
Désir, C.1
Bernard, S.2
Petitjean, C.3
Heutte, L.4
-
19
-
-
84870669188
-
Automatic bearing fault diagnosis based on one-class nu-svm
-
D. Fernández-Francos, D. Martínez-Rego, O. Font enla-Romero and A. Alonso-Betanzos, Automatic bearing fault diagnosis based on one-class nu-svm, Comput. Ind. Eng. 64(1) (2013) 357-365.
-
(2013)
Comput. Ind. Eng
, vol.64
, Issue.1
, pp. 357-365
-
-
Fernández-Francos, D.1
Martínez-Rego, D.2
Fontenla-Romero, O.3
Alonso-Betanzos, A.4
-
20
-
-
84863399258
-
One-class svm in multi-task learning
-
X. He, G. Mourot, D. Maquin, J. Ragot, P. Beauseroy and A. Smolarz, One-class svm in multi-task learning, in Proc. Annual Conf. European Safety and Reliability Association, ESREL 2011 (2011).
-
(2011)
Proc. Annual Conf. European Safety and Reliability Association, ESREL
, vol.2011
-
-
He, X.1
Mourot, G.2
Maquin, D.3
Ragot, J.4
Beauseroy, P.5
Smolarz, A.6
-
22
-
-
84881080968
-
One-class classification with Gaussian processes
-
M. Kemmler, E. Rodner, E.-S. Wacker and J. Denzler, One-class classification with gaussian processes, Pattern Recogn. 46(12) (2013) 3507-3518.
-
(2013)
Pattern Recogn
, vol.46
, Issue.12
, pp. 3507-3518
-
-
Kemmler, M.1
Rodner, E.2
Wacker, E.-S.3
Denzler, J.4
-
23
-
-
84894304676
-
Covariance-guided one-class support vector machine
-
N. M. Khan, R. Ksantini, I. S. Ahmad and L. Guan, Covariance-guided one-class support vector machine, Pattern Recogn. 47(6) (2014) 2165-2177.
-
(2014)
Pattern Recogn
, vol.47
, Issue.6
, pp. 2165-2177
-
-
Khan, N.M.1
Ksantini, R.2
Ahmad, I.S.3
Guan, L.4
-
24
-
-
84887613816
-
Diversity measures for one-class classifier ensembles
-
B. Krawczyk and M. Woźniak, Diversity measures for one-class classifier ensembles, Neurocomputing 126 (2014) 36-44.
-
(2014)
Neurocomputing
, vol.126
, pp. 36-44
-
-
Krawczyk, B.1
Woźniak, M.2
-
25
-
-
84894427964
-
Clustering-based ensembles for one-class classification
-
B. Krawczyk, M. Woźniak and B. Cyganek, Clustering-based ensembles for one-class classification, Inf. Sci. 264 (2014) 182-195.
-
(2014)
Inf. Sci
, vol.264
, pp. 182-195
-
-
Krawczyk, B.1
Woźniak, M.2
Cyganek, B.3
-
26
-
-
8644232594
-
A study on combining image representations for image classification and retrieval
-
C. Lai, D. M. J. Tax, R. P. W. Duin, E. Pekalska and P. Paclík, A study on combining image representations for image classification and retrieval, Int. J. Pattern Recogn. Artif. Intell. 18(5) (2004) 867-890.
-
(2004)
Int. J. Pattern Recogn. Artif. Intell
, vol.18
, Issue.5
, pp. 867-890
-
-
Lai, C.1
Tax, D.M.J.2
Duin, R.P.W.3
Pekalska, E.4
Paclík, P.5
-
27
-
-
79952345589
-
Big data, analytics and the path from insights to value
-
S. LaValle, E. Lesser, R. Shockley, M. S. Hopkins and N. Kruschwitz, Big data, analytics and the path from insights to value, MIT Sloan Manag. Rev. 52(2) (2011) 21-32.
-
(2011)
MIT Sloan Manag. Rev
, vol.52
, Issue.2
, pp. 21-32
-
-
LaValle, S.1
Lesser, E.2
Shockley, R.3
Hopkins, M.S.4
Kruschwitz, N.5
-
28
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio and P. Haffner, Gradient-based learning applied to document recognition, Proc. IEEE 86 (1998) 2278-2324.
-
(1998)
Proc. IEEE
, vol.86
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
29
-
-
84878844662
-
Integrating a statistical background-foreground extraction algorithm and svm classifier for pedestrian detection and tracking
-
D. Li, L. Xu, E. Goodman, Y. Xu and Y. Wu, Integrating a statistical background-foreground extraction algorithm and svm classifier for pedestrian detection and tracking, Integr. Comput. Aided Eng. 20 (2013) 201-216.
-
(2013)
Integr. Comput. Aided Eng
, vol.20
, pp. 201-216
-
-
Li, D.1
Xu, L.2
Goodman, E.3
Xu, Y.4
Wu, Y.5
-
30
-
-
72149111135
-
Fault detection and diagnosis in process data using one-class support vector machines
-
S. Mahadevan and S. L. Shah, Fault detection and diagnosis in process data using one-class support vector machines, J. Process Control 19(10) (2009) 1627-1639.
-
(2009)
J. Process Control
, vol.19
, Issue.10
, pp. 1627-1639
-
-
Mahadevan, S.1
Shah, S.L.2
-
31
-
-
33847410597
-
One-class document classification via neural networks
-
L. Manevitz and M. Yousef, One-class document classification via neural networks, Neurocomputing 70(79) (2007) 1466-1481.
-
(2007)
Neurocomputing
, vol.70
, Issue.79
, pp. 1466-1481
-
-
Manevitz, L.1
Yousef, M.2
-
32
-
-
84887569861
-
A minimum volume covering approach with a set of ellipsoids
-
D. Martínez-Rego, E. Castillo, O. Fontenla-Romero and A. Alonso-Betanzos, A minimum volume covering approach with a set of ellipsoids, IEEE Trans. Pattern Anal. Mach. Intell. 35(12) (2013) 2997-3009.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.35
, Issue.12
, pp. 2997-3009
-
-
Martínez-Rego, D.1
Castillo, E.2
Fontenla-Romero, O.3
Alonso-Betanzos, A.4
-
33
-
-
0030130884
-
Network constraints and multi-objective optimization for one-class classification
-
M. Moya and D. Hush, Network constraints and multi-objective optimization for one-class classification, Neural Netw. 9(3) (2013) 463-474.
-
(2013)
Neural Netw
, vol.9
, Issue.3
, pp. 463-474
-
-
Moya, M.1
Hush, D.2
-
34
-
-
0000487102
-
Estimating the support of a high-dimensional distribution
-
B. Schölkopf, J. C. Platt, J. Shawe-Taylor, A. J. Smola and R. C.Williamson, Estimating the support of a high-dimensional distribution, Neural Comput. 13 (2001) 1443-1471.
-
(2001)
Neural Comput
, vol.13
, pp. 1443-1471
-
-
Schölkopf, B.1
Platt, J.C.2
Shawe-Taylor, J.3
Smola, A.J.4
Williamson, R.C.5
-
35
-
-
33847314004
-
Large scale learning with string kernels
-
eds. L. Bottou, O. Chapelle, D. DeCoste and J. Weston, MIT Press
-
S. Sonnenburg, G. Ratsch and K. Rieck, Large scale learning with string kernels, in Large Scale Kernel Machines, eds. L. Bottou, O. Chapelle, D. DeCoste and J. Weston (MIT Press, 2007), pp. 73-104.
-
(2007)
Large Scale Kernel Machines
, pp. 73-104
-
-
Sonnenburg, S.1
Ratsch, G.2
Rieck, K.3
-
36
-
-
0033220728
-
Support vector domain description
-
D. M. J. Tax and R. P. W. Duin, Support vector domain description, Pattern Recogn. Lett. 20(11-13) (1999) 1191-1199.
-
(1999)
Pattern Recogn. Lett
, vol.20
, Issue.11-13
, pp. 1191-1199
-
-
Tax, D.M.J.1
Duin, R.P.W.2
-
40
-
-
84885870343
-
Boundary detection and sample reduction for one-class support vector machines
-
F. Zhu, N. Ye, W. Yu, S. Xu and G. Li, Boundary detection and sample reduction for one-class support vector machines, Neurocomputing 123(10) (2014) 166-173.
-
(2014)
Neurocomputing
, vol.123
, Issue.10
, pp. 166-173
-
-
Zhu, F.1
Ye, N.2
Yu, W.3
Xu, S.4
Li, G.5
|