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Volumn 24, Issue 4, 2013, Pages 777-794

Adaptive linear discriminant analysis for online feature extraction

Author keywords

Adaptive linear discriminant analysis; Adaptive principal component analysis; Fast convergence rate; Optimal feature extraction

Indexed keywords

ADAPTIVE LINEAR DISCRIMINANT ANALYSIS; ADAPTIVE NATURES; CASCADE FORMS; EXPLICIT COSTS; FAST CONVERGENCE RATE; INVERSE COVARIANCE; LINEAR DISCRIMINANTS; ONLINE FEATURE EXTRACTION;

EID: 84877830553     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-012-0439-z     Document Type: Article
Times cited : (11)

References (47)
  • 2
    • 0034300875 scopus 로고    scopus 로고
    • New LDA based face recognition system which can solve the small sample size problem
    • 10.1016/S0031-3203(99)00139-9
    • Chen L.; Liao H.M.; Ko M.; Lin J.; Yu G.: New LDA based face recognition system which can solve the small sample size problem. Pattern Recognit. 33(10), 1713-1726 (2000)
    • (2000) Pattern Recognit. , vol.33 , Issue.10 , pp. 1713-1726
    • Chen, L.1    Liao, H.M.2    Ko, M.3    Lin, J.4    Yu, G.5
  • 4
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high-dimensional data with application to face recognition
    • 0993.68091 10.1016/S0031-3203(00)00162-X
    • Yu H.; Yang J.: A direct LDA algorithm for high-dimensional data with application to face recognition. Pattern Recognit. 34(10), 2067-2070 (2001)
    • (2001) Pattern Recognit. , vol.34 , Issue.10 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 6
    • 0033872604 scopus 로고    scopus 로고
    • An Experimented-based quantitative and comparative analysis of target detection and image classification algorithms for hyper-spectral imagery
    • 10.1109/36.841984
    • Chang C.; Ren H.: An Experimented-based quantitative and comparative analysis of target detection and image classification algorithms for hyper-spectral imagery. IEEE Trans. Geosci. Remote Sens. 38(2), 1044-1063 (2000)
    • (2000) IEEE Trans. Geosci. Remote Sens. , vol.38 , Issue.2 , pp. 1044-1063
    • Chang, C.1    Ren, H.2
  • 8
    • 0030214923 scopus 로고    scopus 로고
    • Using discriminant eigen-feature for image retrieval
    • 10.1109/34.531802
    • Swets D.L.; Weng J.J.: Using discriminant eigen-feature for image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 18(8), 831-836 (1996)
    • (1996) IEEE Trans. Pattern Anal. Mach. Intell. , vol.18 , Issue.8 , pp. 831-836
    • Swets, D.L.1    Weng, J.J.2
  • 10
  • 14
    • 0032123957 scopus 로고    scopus 로고
    • Fast subspace tracking and neural network learning by a novel information criterion
    • 10.1109/78.700968
    • Miao Y.; Hua Y.: Fast subspace tracking and neural network learning by a novel information criterion. IEEE Trans. Signal Process. 46, 1964-1979 (1998)
    • (1998) IEEE Trans. Signal Process. , vol.46 , pp. 1964-1979
    • Miao, Y.1    Hua, Y.2
  • 15
    • 0029267855 scopus 로고
    • Principal component extraction using recursive least squares learning
    • 10.1109/72.363480
    • Bannour S.; Azimi-Sadjadi M.R.: Principal component extraction using recursive least squares learning. IEEE Trans. Neural Netw. 6, 457-469 (1995)
    • (1995) IEEE Trans. Neural Netw. , vol.6 , pp. 457-469
    • Bannour, S.1    Azimi-Sadjadi, M.R.2
  • 16
    • 0027206958 scopus 로고
    • Least mean square error reconstruction principle for self-organizing neural-net
    • 10.1016/S0893-6080(05)80107-8
    • Xu L.: Least mean square error reconstruction principle for self-organizing neural-net. Neural Netw. 6, 627-648 (1993)
    • (1993) Neural Netw. , vol.6 , pp. 627-648
    • Xu, L.1
  • 17
    • 0041471247 scopus 로고    scopus 로고
    • Candid covariance free incremental principal component analysis
    • 10.1109/TPAMI.2003.1217609
    • Weng J.; Zhang Y.; Hwang W.S.: Candid covariance free incremental principal component analysis. IEEE Trans. Pattern Anal. Mach. Intell. 25(8), 1034-1040 (2003)
    • (2003) IEEE Trans. Pattern Anal. Mach. Intell. , vol.25 , Issue.8 , pp. 1034-1040
    • Weng, J.1    Zhang, Y.2    Hwang, W.S.3
  • 18
    • 0022013023 scopus 로고
    • On stochastic approximation of eigenvectors and eigen-values of the expectation of a random matrix
    • 780319 10.1016/0022-247X(85)90131-3
    • Oja E.; Karhunen J.: On stochastic approximation of eigenvectors and eigen-values of the expectation of a random matrix. J. Math. Anal. Appl. 106, 69-84 (1990)
    • (1990) J. Math. Anal. Appl. , vol.106 , pp. 69-84
    • Oja, E.1    Karhunen, J.2
  • 19
    • 0026954958 scopus 로고
    • Principal components, minor components, and linear neural networks
    • 10.1016/S0893-6080(05)80089-9
    • Oja E.: Principal components, minor components, and linear neural networks. Neural Netw. 5, 927-935 (1992)
    • (1992) Neural Netw. , vol.5 , pp. 927-935
    • Oja, E.1
  • 20
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer linear feed forward neural network
    • 10.1016/0893-6080(89)90044-0
    • Sanger T.D.: Optimal unsupervised learning in a single-layer linear feed forward neural network. Neural Netw. 2, 459-473 (1989)
    • (1989) Neural Netw. , vol.2 , pp. 459-473
    • Sanger, T.D.1
  • 21
    • 0033750718 scopus 로고    scopus 로고
    • Algorithms for accelerated convergence of adaptive PCA
    • 10.1109/72.839005
    • Chatetrjee C.; Kang A.; Roychodhury V.: Algorithms for accelerated convergence of adaptive PCA. IEEE Trans. Neural Netw. 11(2), 338-355 (2000)
    • (2000) IEEE Trans. Neural Netw. , vol.11 , Issue.2 , pp. 338-355
    • Chatetrjee, C.1    Kang, A.2    Roychodhury, V.3
  • 22
    • 26844499076 scopus 로고    scopus 로고
    • Incremental linear discriminant analysis for classification of data streams
    • 10.1109/TSMCB.2005.847744
    • Pang S.; Ozawa S.; Kasabov N.: Incremental linear discriminant analysis for classification of data streams. IEEE Trans. Syst. Man Cybernet. B 35(5), 905-914 (2005)
    • (2005) IEEE Trans. Syst. Man Cybernet. B , vol.35 , Issue.5 , pp. 905-914
    • Pang, S.1    Ozawa, S.2    Kasabov, N.3
  • 24
    • 33947660936 scopus 로고    scopus 로고
    • IDR/QR: An incremental dimension reduction algorithm via QR decomposition
    • Ye, J.; Li, Q.; Xiong, H.; Park, H.; Janardan, R.; Kumar, V.: IDR/QR: an incremental dimension reduction algorithm via QR decomposition. In: IEEE Trans. Knowl. Data Eng. 17(9), 1208-1222 (2005)
    • (2005) IEEE Trans. Knowl. Data Eng. , vol.17 , Issue.9 , pp. 1208-1222
    • Ye, J.1    Li, Q.2    Xiong, H.3    Park, H.4    Janardan, R.5    Kumar, V.6
  • 26
    • 0031139248 scopus 로고    scopus 로고
    • On self-organizing algorithm and networks for class separability features
    • 10.1109/72.572105
    • Chatterjee C.; Roychowdhurry V.P.: On self-organizing algorithm and networks for class separability features. IEEE Trans. Neural Netw. 8(3), 663-678 (1997)
    • (1997) IEEE Trans. Neural Netw. , vol.8 , Issue.3 , pp. 663-678
    • Chatterjee, C.1    Roychowdhurry, V.P.2
  • 27
    • 13544257112 scopus 로고    scopus 로고
    • On-line local learning algorithm for linear discriminant analysis
    • 10.1016/j.patrec.2004.08.005
    • Demir G.K.; Ozmehmet K.: On-line local learning algorithm for linear discriminant analysis. Pattern Recognit. Lett. 26, 421-431 (2005)
    • (2005) Pattern Recognit. Lett. , vol.26 , pp. 421-431
    • Demir, G.K.1    Ozmehmet, K.2
  • 28
  • 29
    • 33846215030 scopus 로고    scopus 로고
    • Fast adaptive LDA using quasi-Newton algorithm
    • 10.1016/j.patrec.2006.10.011
    • Abrishami Moghaddam H.; Matinfar M.: Fast adaptive LDA using quasi-Newton algorithm. Pattern Recognit. Lett. 28(4), 613-621 (2007)
    • (2007) Pattern Recognit. Lett. , vol.28 , Issue.4 , pp. 613-621
    • Abrishami Moghaddam, H.1    Matinfar, M.2
  • 30
    • 3543061070 scopus 로고    scopus 로고
    • Fast RLS like algorithm for generalized eigen decomposition and its applications
    • 1071.94513 10.1023/B:VLSI.0000027495.79266.ad
    • Rao Y.; Principe N.; Wong J.C.: Fast RLS like algorithm for generalized eigen decomposition and its applications. J. VLSI Signal Process. Syst. 37(3), 333-344 (2004)
    • (2004) J. VLSI Signal Process. Syst. , vol.37 , Issue.3 , pp. 333-344
    • Rao, Y.1    Principe, N.2    Wong, J.C.3
  • 31
    • 77953137584 scopus 로고    scopus 로고
    • Adaptive algorithms and networks for optimal feature extraction from Gaussian data
    • 10.1016/j.patrec.2010.02.014
    • Aliyari Ghassabeh Y.; Abrishami Moghaddam H.: Adaptive algorithms and networks for optimal feature extraction from Gaussian data. Pattern Recognit. Lett. 31, 1331-1341 (2010)
    • (2010) Pattern Recognit. Lett. , vol.31 , pp. 1331-1341
    • Aliyari Ghassabeh, Y.1    Abrishami Moghaddam, H.2
  • 33
    • 27744441220 scopus 로고    scopus 로고
    • Incremental learning of feature space and classifier for face recognition
    • 10.1016/j.neunet.2005.06.016
    • Ozawa S.; Toh S.L.; Abe S.; Pang S.; Kasabov N.: Incremental learning of feature space and classifier for face recognition. Neural Netw. 18, 575-584 (2005)
    • (2005) Neural Netw. , vol.18 , pp. 575-584
    • Ozawa, S.1    Toh, S.L.2    Abe, S.3    Pang, S.4    Kasabov, N.5
  • 36
    • 0017526570 scopus 로고
    • Analysis of recursive stochastic algorithms
    • 465458 0362.93031 10.1109/TAC.1977.1101561
    • Ljung L.: Analysis of recursive stochastic algorithms. IEEE Trans. Autom. Control 22, 551-575 (1977)
    • (1977) IEEE Trans. Autom. Control , vol.22 , pp. 551-575
    • Ljung, L.1
  • 41
    • 0022266934 scopus 로고
    • An optimal orthonormal system for discriminant analysis
    • 10.1016/0031-3203(85)90037-8
    • Okada T.; Tomita S.: An optimal orthonormal system for discriminant analysis. Pattern Recognit. 18(2), 139-144 (1985)
    • (1985) Pattern Recognit. , vol.18 , Issue.2 , pp. 139-144
    • Okada, T.1    Tomita, S.2
  • 42
    • 33750967077 scopus 로고    scopus 로고
    • Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach
    • 10.1016/j.neucom.2005.12.127
    • Hruschka E.R.; Ebecken N.F.: Extracting rules from multilayer perceptrons in classification problems: a clustering-based approach. Neurocomputing 70, 384-397 (2006)
    • (2006) Neurocomputing , vol.70 , pp. 384-397
    • Hruschka, E.R.1    Ebecken, N.F.2
  • 43
    • 34250161332 scopus 로고    scopus 로고
    • Dynamic optimal training of a three layer neural network with sigmoid function
    • Fort Lauderdale, USA Aug.
    • Wang, C.H.; Chi, Y.Y.: Dynamic optimal training of a three layer neural network with sigmoid function. In: Proc. IEEE Int. Conf. on Networking, Sensing and Control Fort Lauderdale, USA, pp. 392-397, Aug. 2006
    • (2006) Proc. IEEE Int. Conf. on Networking, Sensing and Control , pp. 392-397
    • Wang . C, H.1    Chi . Y, Y.2
  • 44
    • 84877834977 scopus 로고    scopus 로고
    • http://en.wikipedia.org/wiki/Iris-flower-data-set
  • 45
    • 0035363672 scopus 로고    scopus 로고
    • From few to many: Illumination cone models for face recognition under variable lighting and pose
    • 10.1109/34.927464
    • Georghiades A.S.; Belhumeur P.N.; Kriegman D.J.: From few to many: illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 643-660 (2001)
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.6 , pp. 643-660
    • Georghiades, A.S.1    Belhumeur, P.N.2    Kriegman, D.J.3
  • 47
    • 0026065565 scopus 로고
    • Eigenfaces for face recognition
    • 10.1162/jocn.1991.3.1.71
    • Turk M.; Pentland A.: Eigenfaces for face recognition. J. Cognit. Neurosci. 3(1), 71-86 (1991)
    • (1991) J. Cognit. Neurosci. , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentland, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.