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Volumn 34, Issue 15, 2013, Pages 1916-1927

On-line anomaly detection and resilience in classifier ensembles

Author keywords

Anomaly detection; Classifier ensemble; Decision fusion; Human activity recognition

Indexed keywords

INFORMATION THEORY; MONITORING; PATTERN RECOGNITION;

EID: 84885079530     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2013.02.014     Document Type: Article
Times cited : (35)

References (67)
  • 2
    • 40649098610 scopus 로고    scopus 로고
    • A computational intelligence-based criterion to detect non-stationarity trends
    • 1716801, International Joint Conference on Neural Networks 2006, IJCNN '06
    • Alippi, C., Roveri, M., 2006b. A computational intelligence-based criterion to detect non-stationarity trends. In: Internat. Joint Conf. on Neural Networks (IJCNN), pp. 5040-5044. (Pubitemid 351370016)
    • (2006) IEEE International Conference on Neural Networks - Conference Proceedings , pp. 5040-5044
    • Alippi, C.1    Roveri, M.2
  • 3
    • 48949116228 scopus 로고    scopus 로고
    • Just-in-time adaptive classifiers. Prt i: Detecting nonstationary changes
    • Alippi, C., Roveri, M., 2008. Just-in-time adaptive classifiers. Part I: Detecting nonstationary changes. IEEE Trans. Neural Networks 19, 1145-1153.
    • (2008) IEEE Trans. Neural Networks , vol.19 , pp. 1145-1153
    • Alippi, C.1    Roveri, M.2
  • 4
    • 47849089402 scopus 로고    scopus 로고
    • A generalized likelihood ratio test for detecting land mines using multispectral images
    • Anderson, J., 2008. A generalized likelihood ratio test for detecting land mines using multispectral images. IEEE Geosci. Remote Sens. Lett. 5, 547-551.
    • (2008) IEEE Geosci. Remote Sens. Lett , vol.5 , pp. 547-551
    • Anderson, J.1
  • 5
    • 10944251332 scopus 로고    scopus 로고
    • Particle methods for change detection, system identification, and control
    • DOI 10.1109/JPROC.2003.823142, Sequential State Estimation: From Kalman Filters to Particles Filters
    • Andrieu, C., Doucet, A., Singh, S.S., Tadic, V.B., 2004. Particle methods for change detection, system identification, and control. Proc. IEEE 92, 423-438. (Pubitemid 40890751)
    • (2004) Proceedings of the IEEE , vol.92 , Issue.3 , pp. 423-438
    • Andrieu, C.1    Doucet, A.2    Singh, S.S.3    Tadic, V.B.4
  • 10
    • 0042421807 scopus 로고    scopus 로고
    • Statistical fraud detection: A review
    • Bolton, R.J., Hand, D.J., H, D.J., 2002. Statistical fraud detection: A review. Statist. Sci. 17, 235-255.
    • (2002) Statist. Sci , vol.17 , pp. 235-255
    • Bolton, R.J.1    Hand, D.J.2
  • 11
    • 0142106326 scopus 로고    scopus 로고
    • Automatic change detection in multimodal serial MRI: Application to multiple sclerosis lesion evolution
    • DOI 10.1016/S1053-8119(03)00406-3
    • Bosc, M., Heitz, F., Armspach, J.P., Namer, I., Gounot, D., Rumbach, L., 2003 Automatic change detection in multimodal serial MRI: Application to multiple sclerosis lesion evolution. NeuroImage 20, 643-656. (Pubitemid 37268094)
    • (2003) NeuroImage , vol.20 , Issue.2 , pp. 643-656
    • Bosc, M.1    Heitz, F.2    Armspach, J.-P.3    Namer, I.4    Gounot, D.5    Rumbach, L.6
  • 12
    • 0041691195 scopus 로고    scopus 로고
    • Anomaly detection for advanced military aircraft using neural networks
    • Brotherton, T., Johnson, T., 2001. Anomaly detection for advanced military aircraft using neural networks. In: IEEE Proceedings of Aerospace Conference, pp. 3113-3123.
    • (2001) IEEE Proceedings of Aerospace Conference , pp. 3113-3123
    • Brotherton, T.1    Johnson, T.2
  • 13
    • 84977177730 scopus 로고    scopus 로고
    • Automatic transfer of activity recognition capabilities between body-worn motion sensors: Training newcomers to recognize locomotion
    • Penghu, Taiwan
    • Calatroni, A., Roggen, D., Tröster, G., 2011. Automatic transfer of activity recognition capabilities between body-worn motion sensors: Training newcomers to recognize locomotion. In: 8th Internat. Conf. on Networked Sensing Systems (INSS), Penghu, Taiwan.
    • (2011) 8th Internat. Conf. on Networked Sensing Systems (INSS)
    • Calatroni, A.1    Roggen, D.2    Tröster, G.3
  • 16
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Software available at
    • Chang, C.C., Lin, C.J., 2011. LIBSVM: A library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 27:1-27:27, Software available at: .
    • (2011) ACM Trans. Intell. Syst. Technol , vol.2 , pp. 271-2727
    • Chang, C.C.1    Lin, C.J.2
  • 18
    • 84879689349 scopus 로고    scopus 로고
    • Unsupervised adaptation for acceleration-based activity recognition: Robustness to sensor displacement and rotation
    • Chavarriaga, R., Bayati, H., Millán, J.d.R., 2013a. Unsupervised adaptation for acceleration-based activity recognition: robustness to sensor displacement and rotation. Pers. Ubiquitous Comput. 17, 479-490.
    • (2013) Pers. Ubiquitous Comput , vol.17 , pp. 479-490
    • Chavarriaga, R.1    Bayati, H.2    Millán, J.D.R.3
  • 21
    • 79960361245 scopus 로고    scopus 로고
    • Distributed anomaly detection using 1-class svm for vertically partitioned data
    • Das, K., Bhaduri, K., Votava, P., 2011. Distributed anomaly detection using 1-class SVM for vertically partitioned data. Statist. Anal. Data Min. 4, 393-406.
    • (2011) Statist. Anal. Data Min , vol.4 , pp. 393-406
    • Das, K.1    Bhaduri, K.2    Votava, P.3
  • 28
    • 77951880498 scopus 로고    scopus 로고
    • A survey of fault detection, isolation, and reconfiguration methods
    • Hwang, I., Kim, S., Kim, Y., Seah, C.E., 2010. A survey of fault detection, isolation, and reconfiguration methods. IEEE Trans. Control Syst. Technol. 18, 636-653.
    • (2010) IEEE Trans. Control Syst. Technol , vol.18 , pp. 636-653
    • Hwang, I.1    Kim, S.2    Kim, Y.3    Seah, C.E.4
  • 30
    • 0036061014 scopus 로고    scopus 로고
    • Fault-diagnosis using neural networks with ellipsoidal basis functions
    • Jakubek, S., Strasser, T., 2002. Fault-diagnosis using neural networks with ellipsoidal basis functions. In: Proc. American Control Conference, pp. 3846-3851.
    • (2002) Proc. American Control Conference , pp. 3846-3851
    • Jakubek, S.1    Strasser, T.2
  • 33
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion: An experimental comparison
    • DOI 10.1016/S0031-3203(99)00223-X
    • Kuncheva, L.I., Bezdek, J.C., Duin, R.P.W., 2001. Decision templates for multiple classifier fusion: An experimental comparison. Pattern Recognition 34, 299-314. (Pubitemid 32871876)
    • (2001) Pattern Recognition , vol.34 , Issue.2 , pp. 299-314
    • Kuncheva, L.I.1    Bezdek, J.C.2    Duin, R.P.W.3
  • 34
    • 59249086539 scopus 로고    scopus 로고
    • Dealing with sensor displacement in motion-based onbody activity recognition systems
    • ACM, New York, NY, USA
    • Kunze, K., Lukowicz, P., 2008. Dealing with sensor displacement in motion-based onbody activity recognition systems. In: Proc. 10th Internat. Conf. on Ubiquitous Computing. ACM, New York, NY, USA, pp. 20-29.
    • (2008) Proc. 10th Internat. Conf. on Ubiquitous Computing , pp. 20-29
    • Kunze, K.1    Lukowicz, P.2
  • 37
    • 85166317163 scopus 로고    scopus 로고
    • Approaches to online learning and concept drift for user identification in computer security
    • AAAI Press
    • Lane, T., Brodley, C.E., 1998. Approaches to online learning and concept drift for user identification in computer security. In: KDD. AAAI Press, pp. 259-263.
    • (1998) KDD , pp. 259-263
    • Lane, T.1    Brodley, C.E.2
  • 38
    • 0037411787 scopus 로고    scopus 로고
    • Subspace identification of continuous time models for process fault detection and isolation
    • Li, W., Raghavan, H., Shah, S., 2003. Subspace identification of continuous time models for process fault detection and isolation. J. Process Control 13, 407-421.
    • (2003) J. Process Control , vol.13 , pp. 407-421
    • Li, W.1    Raghavan, H.2    Shah, S.3
  • 39
    • 0001524507 scopus 로고
    • Procedures for reacting to a change in distribution
    • Lorden, G., 1971. Procedures for reacting to a change in distribution. Ann. Math. Statist. 42, 1897-1908.
    • (1971) Ann. Math. Statist , vol.42 , pp. 1897-1908
    • Lorden, G.1
  • 40
    • 70449559229 scopus 로고    scopus 로고
    • Using one-class svm outliers detection for verification of collaboratively tagged image training sets
    • Lukashevich, H., Nowak, S., Dunker, P., 2009. Using one-class SVM outliers detection for verification of collaboratively tagged image training sets. In: IEEE Internat. Conf. on Multimedia and Expo, ICME 2009, pp. 682-685.
    • (2009) IEEE Internat. Conf. on Multimedia and Expo, ICME 2009 , pp. 682-685
    • Lukashevich, H.1    Nowak, S.2    Dunker, P.3
  • 41
    • 33947651163 scopus 로고    scopus 로고
    • On distributed fault-tolerant detection in wireless sensor networks
    • DOI 10.1109/TC.2006.13
    • Luo, X., Dong, M., Huang, Y., 2006. On distributed fault-tolerant detection in wireless sensor networks. IEEE Trans. Comput. 55, 58-70. (Pubitemid 46488997)
    • (2006) IEEE Transactions on Computers , vol.55 , Issue.1 , pp. 58-70
    • Luo, X.1    Dong, M.2    Huang, Y.3
  • 42
    • 0002916530 scopus 로고
    • Continuous inspection schemes
    • Page, E.S., 1954. Continuous inspection schemes. Biometrika 41, 100-115.
    • (1954) Biometrika , vol.41 , pp. 100-115
    • Page, E.S.1
  • 43
    • 38549109147 scopus 로고    scopus 로고
    • Quarter sphere based distributed anomaly detection in wireless sensor networks
    • DOI 10.1109/ICC.2007.637, 4289308, 2007 IEEE International Conference on Communications, ICC'07
    • Rajasegarar, S., Leckie, C., Palaniswami, M., Bezdek, J., 2007. Quarter sphere based distributed anomaly detection in wireless sensor networks. In: IEEE Internat. Conf. on Communications, ICC, pp. 3864-3869. (Pubitemid 351146132)
    • (2007) IEEE International Conference on Communications , pp. 3864-3869
    • Rajasegarar, S.1    Leckie, C.2    Palaniswami, M.3    Bezdek, J.C.4
  • 45
    • 84880951954 scopus 로고    scopus 로고
    • The adarc pattern analysis architecture for adaptive human activity recognition systems
    • Roggen, D., Förster, K., Calatroni, A.G.T., 2011. The adARC pattern analysis architecture for adaptive human activity recognition systems. J. Ambient Intell. Human. Comput., 1-18.
    • (2011) J. Ambient Intell. Human. Comput , pp. 1-18
    • Roggen, D.1    Förster, K.2    Calatroni, A.G.T.3
  • 48
    • 0005946314 scopus 로고    scopus 로고
    • An overview of classifier fusion methods
    • Ruta, D., Gabrys, B., 2000. An overview of classifier fusion methods. Comput. Inform. Syst. J. 7, 1-10.
    • (2000) Comput. Inform. Syst. J , vol.7 , pp. 1-10
    • Ruta, D.1    Gabrys, B.2
  • 54
    • 78549289259 scopus 로고    scopus 로고
    • Change detection with kalman filter and cusum
    • May, M., Saitta, L. (Eds.), Springer
    • Severo, M., Gama, J., 2010. Change detection with kalman filter and cusum. In: May, M., Saitta, L. (Eds.), Ubiquitous Knowledge Discovery, Lecture Notes in Computer Science, vol. 6202. Springer, pp. 148-162.
    • (2010) Ubiquitous Knowledge Discovery, Lecture Notes in Computer Science , vol.6202 , pp. 148-162
    • Severo, M.1    Gama, J.2
  • 57
    • 0028667329 scopus 로고
    • Hidden Markov models for fault detection in dynamic systems
    • DOI 10.1016/0031-3203(94)90024-8
    • Smyth, P., 1994. Hidden markov models for fault detection in dynamic systems. Pattern Recognition 27, 149-164. (Pubitemid 124017399)
    • (1994) Pattern Recognition , vol.27 , Issue.1 , pp. 149-164
    • Smyth, P.1
  • 58
    • 77949953826 scopus 로고    scopus 로고
    • Distributed bayesian fault diagnosis of jump markov systems in wireless sensor networks
    • Snoussi, H., Richard, C., 2007. Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks. Internat. J. Sensor Networks 2, 118-127.
    • (2007) Internat. J. Sensor Networks , vol.2 , pp. 118-127
    • Snoussi, H.1    Richard, C.2
  • 61
    • 17144369124 scopus 로고    scopus 로고
    • Distributed fault-tolerant classification in wireless sensor networks
    • Wang, T.Y., Han, Y.S., Varshney, P.K., Chen, P.N., 2005. Distributed fault-tolerant classification in wireless sensor networks. IEEE J. Sel. Areas Comm. 23, 724-734.
    • (2005) IEEE J. Sel. Areas Comm , vol.23 , pp. 724-734
    • Wang, T.Y.1    Han, Y.S.2    Varshney, P.K.3    Chen, P.N.4
  • 62
    • 63049095648 scopus 로고    scopus 로고
    • Adaptive sensor fault detection and identification using particle filter algorithms
    • Wei, T., Huang, Y., Chen, C., 2009. Adaptive sensor fault detection and identification using particle filter algorithms. IEEE Trans. Syst. Man Cybernet. Part C: Appl. Rev. 39, 201-213.
    • (2009) IEEE Trans. Syst. Man Cybernet. Part C: Appl. Rev , vol.39 , pp. 201-213
    • Wei, T.1    Huang, Y.2    Chen, C.3
  • 63
    • 85030494643 scopus 로고    scopus 로고
    • Use of partial cumulative sum to detect trends and change periods for nonlinear time series
    • Wu, B., Chen, L., 2006. Use of partial cumulative sum to detect trends and change periods for nonlinear time series. J. Econ. Manage. 2, 123-145.
    • (2006) J. Econ. Manage , vol.2 , pp. 123-145
    • Wu, B.1    Chen, L.2
  • 64
    • 46749121826 scopus 로고    scopus 로고
    • Neuro-fuzzy model-based cusum method application in fault detection on an autonomous vehicle
    • IEEE Computer Society, Washington, DC, USA
    • Xie, J., Yan, G., Xie, K., Lin, T.Y., 2007. Neuro-fuzzy model-based cusum method application in fault detection on an autonomous vehicle. In: Proceedings of the 2007 IEEE Internat. Conf. on Granular Computing. IEEE Computer Society, Washington, DC, USA, p. 548.
    • (2007) Proceedings of the 2007 IEEE Internat. Conf. on Granular Computing , pp. 548
    • Xie, J.1    Yan, G.2    Xie, K.3    Lin, T.Y.4
  • 65
    • 34249790291 scopus 로고    scopus 로고
    • Iterative generalized-likelihood ratio test for MIMO radar
    • DOI 10.1109/TSP.2007.893937
    • Xu, L., Li, J., 2007. Iterative generalized-likelihood ratio test for MIMO radar. IEEE Trans. Signal Process. 55, 2375-2385. (Pubitemid 46851609)
    • (2007) IEEE Transactions on Signal Processing , vol.55 , Issue.6 , pp. 2375-2385
    • Xu, L.1    Li, J.2
  • 66
    • 77957699390 scopus 로고    scopus 로고
    • Online anomaly detection for sensor systems: A simple and efficient approach
    • Yao, Y., Sharma, A., Golubchik, L., Govindan, R., 2010. Online anomaly detection for sensor systems: A simple and efficient approach. Perform. Eval. 67, 1059-1075.
    • (2010) Perform. Eval , vol.67 , pp. 1059-1075
    • Yao, Y.1    Sharma, A.2    Golubchik, L.3    Govindan, R.4


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