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Volumn 37, Issue 12, 2015, Pages 2531-2544

Multi-View Intact Space Learning

Author keywords

Multi view learning; robust algorithms

Indexed keywords

ITERATIVE METHODS;

EID: 84960497436     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2015.2417578     Document Type: Article
Times cited : (393)

References (59)
  • 2
    • 84877895470 scopus 로고    scopus 로고
    • Grassmannian regularized structured multi-view embedding for image classification
    • Jul.
    • X. Wang, W. Bian, and D. Tao, "Grassmannian regularized structured multi-view embedding for image classification," IEEE Trans. Image Process., vol. 22, no. 7, pp. 2646-2660, Jul. 2013.
    • (2013) IEEE Trans. Image Process. , vol.22 , Issue.7 , pp. 2646-2660
    • Wang, X.1    Bian, W.2    Tao, D.3
  • 3
    • 84903120310 scopus 로고    scopus 로고
    • Group sparse multiview patch alignment framework with view consistency for image classification
    • Jul.
    • J. Gui, D. Tao, Z. Sun, Y. Luo, X. You, and Y. Tang, "Group sparse multiview patch alignment framework with view consistency for image classification," IEEE Trans. Image Process., vol. 23, no. 7, pp. 3126-3137, Jul. 2014.
    • (2014) IEEE Trans. Image Process. , vol.23 , Issue.7 , pp. 3126-3137
    • Gui, J.1    Tao, D.2    Sun, Z.3    Luo, Y.4    You, X.5    Tang, Y.6
  • 4
    • 84898031966 scopus 로고    scopus 로고
    • Click prediction for web image reranking using multimodal sparse coding
    • May
    • J. Yu, Y. Rui, and D. Tao, "Click prediction for web image reranking using multimodal sparse coding," IEEE Trans. Image Process., vol. 23, no. 5, pp. 2019-2032, May 2014.
    • (2014) IEEE Trans. Image Process. , vol.23 , Issue.5 , pp. 2019-2032
    • Yu, J.1    Rui, Y.2    Tao, D.3
  • 5
    • 84877887638 scopus 로고    scopus 로고
    • Multiview Hessian regularization for image annotation
    • Mar.
    • W. Liu and D. Tao, "Multiview Hessian regularization for image annotation," IEEE Trans. Image Process., vol. 22, no. 7, pp. 2676-2687, Mar. 2013.
    • (2013) IEEE Trans. Image Process. , vol.22 , Issue.7 , pp. 2676-2687
    • Liu, W.1    Tao, D.2
  • 6
    • 84884922012 scopus 로고    scopus 로고
    • Multiview vector-valued manifold regularization for multilabel image classification
    • Mar.
    • Y. Luo, D. Tao, C. Xu, C. Xu, H. Liu, and Y. Wen, "Multiview vector-valued manifold regularization for multilabel image classification," IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 5, pp. 709-722, Mar. 2013.
    • (2013) IEEE Trans. Neural Netw. Learn. Syst. , vol.24 , Issue.5 , pp. 709-722
    • Luo, Y.1    Tao, D.2    Xu, C.3    Xu, C.4    Liu, H.5    Wen, Y.6
  • 7
    • 0031620208 scopus 로고    scopus 로고
    • Combining labeled and unlabeled data with co-training
    • A. Blum and T. Mitchell, "Combining labeled and unlabeled data with co-training," in COLT. ACM, 1998, pp. 92-100.
    • (1998) COLT. ACM , pp. 92-100
    • Blum, A.1    Mitchell, T.2
  • 8
    • 85136905861 scopus 로고    scopus 로고
    • Analyzing the effectiveness and applicability of co-training
    • K. Nigam and R. Ghani, "Analyzing the effectiveness and applicability of co-training," in CIKM. ACM, 2000, pp. 86-93.
    • (2000) CIKM. ACM , pp. 86-93
    • Nigam, K.1    Ghani, R.2
  • 12
    • 33750604335 scopus 로고    scopus 로고
    • Active learning with multiple views
    • I. Muslea, S. Minton, and C. Knoblock, "Active learning with multiple views," J. Artif. Intell. Res., vol. 27, no. 1, pp. 203-233, 2006.
    • (2006) J. Artif. Intell. Res. , vol.27 , Issue.1 , pp. 203-233
    • Muslea, I.1    Minton, S.2    Knoblock, C.3
  • 17
    • 33750738734 scopus 로고    scopus 로고
    • Co-training and expansion: Towards bridging theory and practice
    • M.-F. Balcan, A. Blum, and K. Yang, "Co-training and expansion: Towards bridging theory and practice," in Proc. Neural Inf. Process. Syst., 2004, pp. 89-96.
    • (2004) Proc. Neural Inf. Process. Syst. , pp. 89-96
    • Balcan, M.-F.1    Blum, A.2    Yang, K.3
  • 18
    • 38049125937 scopus 로고    scopus 로고
    • Analyzing co-training style algorithms
    • Springer
    • W. Wang and Z.-H. Zhou, "Analyzing co-training style algorithms," in Machine Learning: ECML 2007. Springer, 2007, pp. 454-465.
    • (2007) Machine Learning: ECML 2007 , pp. 454-465
    • Wang, W.1    Zhou, Z.-H.2
  • 19
    • 28244448186 scopus 로고    scopus 로고
    • Tri-training: Exploiting unlabeled data using three classifiers
    • Nov.
    • Z.-H. Zhou and M. Li, "Tri-training: Exploiting unlabeled data using three classifiers," IEEE Trans. Knowl. Data Eng., vol. 17, no. 11, pp. 1529-1541, Nov. 2005.
    • (2005) IEEE Trans. Knowl. Data Eng. , vol.17 , Issue.11 , pp. 1529-1541
    • Zhou, Z.-H.1    Li, M.2
  • 21
    • 84908488054 scopus 로고    scopus 로고
    • Co-training with insufficient views
    • W. Wang and Z.-H. Zhou, "Co-training with insufficient views," in Proc. ACML, 2013, pp. 467-482.
    • (2013) Proc. ACML , pp. 467-482
    • Wang, W.1    Zhou, Z.-H.2
  • 22
    • 80052213499 scopus 로고    scopus 로고
    • Multiple kernel learning algorithms
    • M. Gönen, and E. Alpaydn, "Multiple kernel learning algorithms," J. Mach. Learn. Res., vol. 12, pp. 2211-2268, 2011.
    • (2011) J. Mach. Learn. Res. , vol.12 , pp. 2211-2268
    • Gönen, M.1    Alpaydn, E.2
  • 29
    • 38049026697 scopus 로고    scopus 로고
    • Multi-view regression via canonical correlation analysis
    • S. M. Kakade and D. P. Foster, "Multi-view regression via canonical correlation analysis," in Learning Theory. Springer, 2007, pp. 82-96.
    • (2007) Learning Theory. Springer , pp. 82-96
    • Kakade, S.M.1    Foster, D.P.2
  • 33
    • 77950404059 scopus 로고    scopus 로고
    • Learning shared latent structure for image synthesis and robotic imitation
    • A. Shon, K. Grochow, A. Hertzmann, and R. P. Rao, "Learning shared latent structure for image synthesis and robotic imitation," in Proc. Neural Inf. Process. Syst., 2005, pp. 1233-1240.
    • (2005) Proc. Neural Inf. Process. Syst. , pp. 1233-1240
    • Shon, A.1    Grochow, K.2    Hertzmann, A.3    Rao, R.P.4
  • 34
    • 84857416741 scopus 로고    scopus 로고
    • Shared kernel information embedding for discriminative inference
    • Apr.
    • R. Memisevic, L. Sigal, and D. J. Fleet, "Shared kernel information embedding for discriminative inference," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 4, pp. 778-790, Apr. 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.4 , pp. 778-790
    • Memisevic, R.1    Sigal, L.2    Fleet, D.J.3
  • 37
    • 84867776237 scopus 로고    scopus 로고
    • Large-margin predictive latent subspace learning for multi-view data analysis
    • Dec.
    • N. Chen, J. Zhu, F. Sun, and E. Xing, "Large-margin predictive latent subspace learning for multi-view data analysis." IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 12, pp. 2365-2378, Dec. 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.12 , pp. 2365-2378
    • Chen, N.1    Zhu, J.2    Sun, F.3    Xing, E.4
  • 38
    • 84883722978 scopus 로고    scopus 로고
    • Large-margin multi-view Gaussian process for image classification
    • C. Xu, D. Tao, Y. Li, and C. Xu, "Large-margin multi-view gaussian process for image classification," in ICIMCS. ACM, 2013, pp. 7-12.
    • (2013) ICIMCS. ACM , pp. 7-12
    • Xu, C.1    Tao, D.2    Li, Y.3    Xu, C.4
  • 39
    • 84904192140 scopus 로고    scopus 로고
    • Large-margin multi-view information bottleneck
    • Aug.
    • C. Xu, D. Tao, and C. Xu, "Large-margin multi-view information bottleneck," IEEE Trans. Pattern Anal. Mach. Intel., vol. 36, no. 8, pp. 1559-1572, Aug. 2014.
    • (2014) IEEE Trans. Pattern Anal. Mach. Intel. , vol.36 , Issue.8 , pp. 1559-1572
    • Xu, C.1    Tao, D.2    Xu, C.3
  • 40
    • 34547982360 scopus 로고    scopus 로고
    • Two-view feature generation model for semi-supervised learning
    • R. K. Ando and T. Zhang, "Two-view feature generation model for semi-supervised learning," in Proc. Int. Conf. Mach. Learn., 2007.
    • (2007) Proc. Int. Conf. Mach. Learn.
    • Ando, R.K.1    Zhang, T.2
  • 41
    • 0009409250 scopus 로고    scopus 로고
    • Breakdown points of t-type regression estimators
    • X. He, D. G. Simpson, and G. Wang, "Breakdown points of t-type regression estimators," Biometrika, vol. 87, no. 3, pp. 675-687, 2000.
    • (2000) Biometrika , vol.87 , Issue.3 , pp. 675-687
    • He, X.1    Simpson, D.G.2    Wang, G.3
  • 43
    • 0036507674 scopus 로고    scopus 로고
    • Breakdown points of Cauchy regression-scale estimators
    • I. Mizera and C. H. Müller, "Breakdown points of Cauchy regression-scale estimators," Stat. & Probability Lett., vol. 57, no. 1, pp. 79-89, 2002.
    • (2002) Stat. & Probability Lett. , vol.57 , Issue.1 , pp. 79-89
    • Mizera, I.1    Müller, C.H.2
  • 44
    • 0008520850 scopus 로고
    • Linear convergence of generalized Weiszfeld's method
    • H. Voss and U. Eckhardt, "Linear convergence of generalized Weiszfeld's method," Comput., vol. 25, no. 3, pp. 243-251, 1980.
    • (1980) Comput. , vol.25 , Issue.3 , pp. 243-251
    • Voss, H.1    Eckhardt, U.2
  • 46
    • 84898075155 scopus 로고    scopus 로고
    • An information theoretic framework for multi-view learning
    • K. Sridharan and S. M. Kakade, "An information theoretic framework for multi-view learning." in COLT, 2008, pp. 403-414.
    • (2008) COLT , pp. 403-414
    • Sridharan, K.1    Kakade, S.M.2
  • 48
    • 61849181973 scopus 로고    scopus 로고
    • Concentration inequalities for dependent random variables via the Martingale method
    • L. A. Kontorovich, K. Ramanan, et al., "Concentration inequalities for dependent random variables via the Martingale method," The Ann. Probability, vol. 36, no. 6, pp. 2126-2158, 2008.
    • (2008) The Ann. Probability , vol.36 , Issue.6 , pp. 2126-2158
    • Kontorovich, L.A.1    Ramanan, K.2
  • 49
    • 0038453192 scopus 로고    scopus 로고
    • Rademacher and Gaussian complexities: Risk bounds and structural results
    • P. L. Bartlett and S. Mendelson, "Rademacher and Gaussian complexities: Risk bounds and structural results," The J. Mach. Learn. Res., vol. 3, pp. 463-482, 2003.
    • (2003) The J. Mach. Learn. Res. , vol.3 , pp. 463-482
    • Bartlett, P.L.1    Mendelson, S.2
  • 50
    • 0036748375 scopus 로고    scopus 로고
    • The covering number in learning theory
    • D.-X. Zhou, "The covering number in learning theory," J. Complexity, vol. 18, no. 3, pp. 739-767, 2002.
    • (2002) J. Complexity , vol.18 , Issue.3 , pp. 739-767
    • Zhou, D.-X.1
  • 51
    • 0347067948 scopus 로고    scopus 로고
    • Covering number bounds of certain regularized linear function classes
    • T. Zhang, "Covering number bounds of certain regularized linear function classes," The J. Mach. Learn. Res., vol. 2, pp. 527-550, 2002.
    • (2002) The J. Mach. Learn. Res. , vol.2 , pp. 527-550
    • Zhang, T.1
  • 54
    • 0141849794 scopus 로고    scopus 로고
    • The CMU pose, illumination, and expression (PIE) database
    • T. Sim, S. Baker, and M. Bsat, "The CMU pose, illumination, and expression (PIE) database," in FGR. IEEE, 2002, pp. 46-51.
    • (2002) FGR. IEEE , pp. 46-51
    • Sim, T.1    Baker, S.2    Bsat, M.3
  • 56
    • 84870183903 scopus 로고    scopus 로고
    • 3d convolutional neural networks for human action recognition
    • Jan.
    • S. Ji, W. Xu, M. Yang, and K. Yu, "3d convolutional neural networks for human action recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 1, pp. 221-231, Jan. 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.1 , pp. 221-231
    • Ji, S.1    Xu, W.2    Yang, M.3    Yu, K.4
  • 58
    • 84898805910 scopus 로고    scopus 로고
    • Action recognition with improved trajectories
    • H. Wang and C. Schmid, "Action recognition with improved trajectories," in Proc. Int. Conf. Comput. Vis., 2013, pp. 3551-3558.
    • (2013) Proc. Int. Conf. Comput. Vis. , pp. 3551-3558
    • Wang, H.1    Schmid, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.