메뉴 건너뛰기




Volumn , Issue , 2011, Pages 249-254

Learning nonlinear distance functions using neural network for regression with application to robust human age estimation

Author keywords

[No Author keywords available]

Indexed keywords

AGE ESTIMATION; CORRELATION COEFFICIENT; DISTANCE FUNCTIONS; FACE IMAGES; HUMAN AGE ESTIMATION; OUTLIER SAMPLES; REGRESSION PROBLEM; ROBUST REGRESSIONS; STATE OF THE ART;

EID: 84856674165     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126249     Document Type: Conference Paper
Times cited : (16)

References (33)
  • 2
    • 33846040203 scopus 로고    scopus 로고
    • A kernel approach for semi-supervised metric learning
    • D. Y. Yeung, H. Chang, A kernel approach for semi-supervised metric learning, IEEE Transactions on Neural Networks, 18(1): 141-149, 2007.
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.1 , pp. 141-149
    • Yeung, D.Y.1    Chang, H.2
  • 3
    • 33749550361 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • K. Weinberger, J. Blitzer, L. Saul, Distance metric learning for large margin nearest neighbor classification, Proc. NIPS, pp.1475-1482, 2006.
    • (2006) Proc. NIPS , pp. 1475-1482
    • Weinberger, K.1    Blitzer, J.2    Saul, L.3
  • 4
    • 78650291959 scopus 로고    scopus 로고
    • Learning distance function by coding similarity
    • A. Bar-Hillel, D. Weinshall, Learning distance function by coding similarity, Proc. ICML, pp.65-72, 2007.
    • (2007) Proc. ICML , pp. 65-72
    • Bar-Hillel, A.1    Weinshall, D.2
  • 5
    • 85133386144 scopus 로고    scopus 로고
    • Distance metric learning with application to clustering with side-information
    • E. Xing, A. Ng, M. I. Jordan, S. Russell, Distance metric learning with application to clustering with side-information, Proc. NIPS, pp.505-512, 2002.
    • (2002) Proc. NIPS , pp. 505-512
    • Xing, E.1    Ng, A.2    Jordan, M.I.3    Russell, S.4
  • 7
    • 14344262273 scopus 로고    scopus 로고
    • Online and batch learning of pseudo-metrics
    • S. Shalev-Shwartz, Y. Singer, A. Y. Ng, Online and batch learning of pseudo-metrics, Proc. ICML, pp.743-750, 2004.
    • (2004) Proc. ICML , pp. 743-750
    • Shalev-Shwartz, S.1    Singer, Y.2    Ng, A.Y.3
  • 8
    • 84937544784 scopus 로고    scopus 로고
    • Adjustment learning and relevant component analysis
    • N. Shental, T. Hertz, D. Weinshall, M. Pavel, Adjustment learning and relevant component analysis, Proc. ECCV, pp.776-792, 2002.
    • (2002) Proc. ECCV , pp. 776-792
    • Shental, N.1    Hertz, T.2    Weinshall, D.3    Pavel, M.4
  • 9
    • 24644436425 scopus 로고    scopus 로고
    • Learning a similarity metric discriminatively, with application to face verification
    • S. Chopra, R. Hadsell, Y. LeCun, Learning a similarity metric discriminatively, with application to face verification, Proc. CVPR, pp.539-546, 2005.
    • (2005) Proc. CVPR , pp. 539-546
    • Chopra, S.1    Hadsell, R.2    LeCun, Y.3
  • 12
    • 33845598314 scopus 로고    scopus 로고
    • Learning non-metric partial similarity based on maximal margin criterion
    • X. Tan, S. Chen, J. Li, Z. Zhou, Learning non-metric partial similarity based on maximal margin criterion, Proc. CVPR, pp.138-145, 2006
    • (2006) Proc. CVPR , pp. 138-145
    • Tan, X.1    Chen, S.2    Li, J.3    Zhou, Z.4
  • 13
    • 35148892730 scopus 로고    scopus 로고
    • Biased manifold embedding: A framework for person-independent head pose estimation
    • V. N. Balasubramanian, J. Ye, S. Panchanathan, Biased manifold embedding: A framework for person-independent head pose estimation, Proc. CVPR, pp.1-7, 2007.
    • (2007) Proc. CVPR , pp. 1-7
    • Balasubramanian, V.N.1    Ye, J.2    Panchanathan, S.3
  • 14
    • 84856652142 scopus 로고    scopus 로고
    • FG-NET Aging Database
    • FG-NET Aging Database, http://www.fgnet.rsunit.com
  • 16
    • 34250209877 scopus 로고    scopus 로고
    • Compositional pattern producing networks: A novel abstraction of development
    • K. O. Stanley, Compositional pattern producing networks: A novel abstraction of development, Genetic Programming and Evolvable Machines, 8(2): 131-162, 2007.
    • (2007) Genetic Programming and Evolvable Machines , vol.8 , Issue.2 , pp. 131-162
    • Stanley, K.O.1
  • 18
    • 0001321136 scopus 로고
    • On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition
    • A. N. Kolmogorov, On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition, Doklady Akademii Nauk SSSR, 114: 953-956, 1957.
    • (1957) Doklady Akademii Nauk SSSR , vol.114 , pp. 953-956
    • Kolmogorov, A.N.1
  • 19
    • 0039393134 scopus 로고
    • Sur le théorème de superposition de Kolmogorov
    • J. P. Kahane, Sur le théorème de superposition de Kolmogorov, Journal of Approximation Theory, 13(3): 229-234, 1975.
    • (1975) Journal of Approximation Theory , vol.13 , Issue.3 , pp. 229-234
    • Kahane, J.P.1
  • 20
  • 21
    • 0026627415 scopus 로고
    • Kolmogorov's theorem and multilayer neural networks
    • V.Kurkova, Kolmogorov's theorem and multilayer neural networks, Neural Networks, 5(3): 501-506, 1992.
    • (1992) Neural Networks , vol.5 , Issue.3 , pp. 501-506
    • Kurkova, V.1
  • 22
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • A. F. Moller, A scaled conjugate gradient algorithm for fast supervised learning, Neural Networks, 6(4): 525-533, 1993.
    • (1993) Neural Networks , vol.6 , Issue.4 , pp. 525-533
    • Moller, A.F.1
  • 23
    • 13444283482 scopus 로고    scopus 로고
    • Learning an image manifold for retrieval
    • X. He, W. Y. Ma, H. J. Zhang. Learning an image manifold for retrieval, Proc. ACM Multimedia, pp.17-23, 2004.
    • (2004) Proc. ACM Multimedia , pp. 17-23
    • He, X.1    Ma, W.Y.2    Zhang, H.J.3
  • 26
    • 45949109037 scopus 로고    scopus 로고
    • Image-based human age estimation by manifold learning and locally adjusted robust regression
    • G. D. Guo, Y. Fu, C. Dyer, T. Huang, Image-based human age estimation by manifold learning and locally adjusted robust regression, IEEE Transactions on Image Processing, 17(7): 1178-1188, 2008.
    • (2008) IEEE Transactions on Image Processing , vol.17 , Issue.7 , pp. 1178-1188
    • Guo, G.D.1    Fu, Y.2    Dyer, C.3    Huang, T.4
  • 27
    • 36248946626 scopus 로고    scopus 로고
    • Automatic age estimation based on facial aging patterns
    • X. Geng, Z. H. Zhou, K. S. Miles, Automatic age estimation based on facial aging patterns, IEEE Transactions on PAMI, 29(12):2234-2240, 2007.
    • (2007) IEEE Transactions on PAMI , vol.29 , Issue.12 , pp. 2234-2240
    • Geng, X.1    Zhou, Z.H.2    Miles, K.S.3
  • 28
    • 70350666501 scopus 로고    scopus 로고
    • Facial age estimation by nonlinear aging pattern subspace, Proc
    • X. Geng, K. S. Miles, Z. Z. Zhou, Facial age estimation by nonlinear aging pattern subspace, Proc. ACM Multimedia, pp.721-724, 2008.
    • (2008) ACM Multimedia , pp. 721-724
    • Geng, X.1    Miles, K.S.2    Zhou, Z.Z.3
  • 29
  • 30
    • 50649098885 scopus 로고    scopus 로고
    • Learning auto-structured regressor from uncertain nonnegative labels
    • S. Yan, H. Wang, X. Tang, T. Huang. Learning auto-structured regressor from uncertain nonnegative labels, Proc. ICCV, pp.1-8, 2007.
    • (2007) Proc. ICCV , pp. 1-8
    • Yan, S.1    Wang, H.2    Tang, X.3    Huang, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.