메뉴 건너뛰기




Volumn 25, Issue 7, 2015, Pages

Distributed one-class support vector machine

Author keywords

Dstributed learning; Oe class classification; Otlier detection; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); STATISTICS;

EID: 84940369047     PISSN: 01290657     EISSN: 17936462     Source Type: Journal    
DOI: 10.1142/S012906571550029X     Document Type: Article
Times cited : (57)

References (40)
  • 1
    • 77958031946 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 6
    • 84867677737 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 13
    • 84863457581 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 21
    • 38049081099 scopus 로고    scopus 로고
    • Learning the kernel in Mahalanobis one-class support vector machines
    • I. W. Tsang, J. T. Kwok and S. Li, Learning the kernel in Mahalanobis one-class support vector machines, Int. Joint Conf. Neural Networks (INNS) (2006), pp. 1169-1175.
    • (2006) Int. Joint Conf. Neural Networks (INNS) , pp. 1169-1175
    • Tsang, I.W.1    Kwok, J.T.2    Li, S.3
  • 22
    • 84881080968 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 28
    • 0032203257 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 33
    • 0030130884 scopus 로고    scopus 로고
    • 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
  • 35
    • 33847314004 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.