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Volumn , Issue , 2017, Pages 1877-1883

Self-paced learning: An implicit regularization perspective

Author keywords

[No Author keywords available]

Indexed keywords

QUADRATIC PROGRAMMING;

EID: 85030459062     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (52)

References (34)
  • 4
    • 84973561208 scopus 로고    scopus 로고
    • Generalized correntropy for robust adaptive filtering
    • Chen, B.; Xing, L.; Zhao, H.; Zheng, N.; and Príncipe, J. C. 2016b. Generalized correntropy for robust adaptive filtering. TSP 64(13):3376-3387.
    • (2016) TSP , vol.64 , Issue.13 , pp. 3376-3387
    • Chen, B.1    Xing, L.2    Zhao, H.3    Zheng, N.4    Príncipe, J.C.5
  • 5
    • 50949133669 scopus 로고    scopus 로고
    • Liblinear: A library for large linear classification
    • Fan, R.-E.; Chang, K.-W.; Hsieh, C.-J.; Wang, X.-R.; and Lin, C.-J. 2008. Liblinear: A library for large linear classification. JMLR 9:1871-1874.
    • (2008) JMLR , vol.9 , pp. 1871-1874
    • Fan, R.-E.1    Chang, K.-W.2    Hsieh, C.-J.3    Wang, X.-R.4    Lin, C.-J.5
  • 6
    • 0026835074 scopus 로고
    • Constrained restoration and the recovery of discontinuities
    • Geman, D., and Reynolds, G. 1992. Constrained restoration and the recovery of discontinuities. TPAMI 14(3):367-383.
    • (1992) TPAMI , vol.14 , Issue.3 , pp. 367-383
    • Geman, D.1    Reynolds, G.2
  • 7
    • 0029341230 scopus 로고
    • Nonlinear image recovery with half-quadratic regularization
    • Geman, D., and Yang, C. 1995. Nonlinear image recovery with half-quadratic regularization. TIP 4(7):932-946.
    • (1995) TIP , vol.4 , Issue.7 , pp. 932-946
    • Geman, D.1    Yang, C.2
  • 9
    • 84891600080 scopus 로고    scopus 로고
    • Half-quadratic-based iterative minimization for robust sparse representation
    • He, R.; Zheng, W.-S.; Tan, T.; and Sun, Z. 2014b. Half-quadratic-based iterative minimization for robust sparse representation. TPAMI 36(2):261-275.
    • (2014) TPAMI , vol.36 , Issue.2 , pp. 261-275
    • He, R.1    Zheng, W.-S.2    Tan, T.3    Sun, Z.4
  • 10
    • 84897522870 scopus 로고    scopus 로고
    • Robust recovery of corrupted low-rank matrix by implicit regularizers
    • He, R.; Tan, T.; and Wang, L. 2014. Robust recovery of corrupted low-rank matrix by implicit regularizers. TPAMI 36(4):770-783.
    • (2014) TPAMI , vol.36 , Issue.4 , pp. 770-783
    • He, R.1    Tan, T.2    Wang, L.3
  • 12
    • 84913585680 scopus 로고    scopus 로고
    • Easy samples first: Self-paced reranking for zero-example multimedia search
    • Jiang, L.; Meng, D.; Mitamura, T.; and Hauptmann, A. G. 2014a. Easy samples first: Self-paced reranking for zero-example multimedia search. In ACM MM, 547-556.
    • (2014) ACM MM , pp. 547-556
    • Jiang, L.1    Meng, D.2    Mitamura, T.3    Hauptmann, A.G.4
  • 15
    • 85161967298 scopus 로고    scopus 로고
    • Self-paced learning for latent variable models
    • Kumar, M. P.; Packer, B.; and Koller, D. 2010. Self-paced learning for latent variable models. In NIPS, 1189-1197.
    • (2010) NIPS , pp. 1189-1197
    • Kumar, M.P.1    Packer, B.2    Koller, D.3
  • 16
    • 80052880043 scopus 로고    scopus 로고
    • Learning the easy things first: Self-paced visual category discovery
    • Lee, Y. J., and Grauman, K. 2011. Learning the easy things first: Self-paced visual category discovery. In CVPR, 1721-1728.
    • (2011) CVPR , pp. 1721-1728
    • Lee, Y.J.1    Grauman, K.2
  • 17
    • 85007162698 scopus 로고    scopus 로고
    • Multi-objective self-paced learning
    • Li, H.; Gong, M.; Meng, D.; and Miao, Q. 2016. Multi-objective self-paced learning. In AAAI, 1802-1808.
    • (2016) AAAI , pp. 1802-1808
    • Li, H.1    Gong, M.2    Meng, D.3    Miao, Q.4
  • 18
    • 84980383661 scopus 로고    scopus 로고
    • Self-paced cross-modal subspace matching
    • Liang, J.; Li, Z.; Cao, D.; He, R.; and Wang, J. 2016. Self-paced cross-modal subspace matching. In SIGIR, 569-578.
    • (2016) SIGIR , pp. 569-578
    • Liang, J.1    Li, Z.2    Cao, D.3    He, R.4    Wang, J.5
  • 19
    • 80053457298 scopus 로고    scopus 로고
    • Implementing regularization implicitly via approximate eigenvector computation
    • Mahoney, M. W., and Orecchia, L. 2011. Implementing regularization implicitly via approximate eigenvector computation. In ICML, 121-128.
    • (2011) ICML , pp. 121-128
    • Mahoney, M.W.1    Orecchia, L.2
  • 20
    • 84862613543 scopus 로고    scopus 로고
    • Approximate computation and implicit regularization for very large-scale data analysis
    • Mahoney, M. W. 2012. Approximate computation and implicit regularization for very large-scale data analysis. In PODS, 143-154.
    • (2012) PODS , pp. 143-154
    • Mahoney, M.W.1
  • 22
    • 34249073050 scopus 로고    scopus 로고
    • The equivalence of half-quadratic minimization and the gradient linearization iteration
    • Nikolova, M., and Chan, R. H. 2007. The equivalence of half-quadratic minimization and the gradient linearization iteration. TIP 16(6):1623-1627.
    • (2007) TIP , vol.16 , Issue.6 , pp. 1623-1627
    • Nikolova, M.1    Chan, R.H.2
  • 23
    • 33646596282 scopus 로고    scopus 로고
    • Analysis of half-quadratic minimization methods for signal and image recovery
    • Nikolova, M., and Ng, M. K. 2005. Analysis of half-quadratic minimization methods for signal and image recovery. SIAM Journal on Scientific Computing 27(3):937-966.
    • (2005) SIAM Journal on Scientific Computing , vol.27 , Issue.3 , pp. 937-966
    • Nikolova, M.1    Ng, M.K.2
  • 25
    • 85161989354 scopus 로고    scopus 로고
    • Probabilistic matrix factorization
    • Salakhutdinov, R., and Mnih, A. 2008. Probabilistic matrix factorization. In NIPS, 1-8.
    • (2008) NIPS , pp. 1-8
    • Salakhutdinov, R.1    Mnih, A.2
  • 26
    • 84887368146 scopus 로고    scopus 로고
    • Self-paced learning for long-term tracking
    • Supancic, J. S., and Ramanan, D. 2013. Self-paced learning for long-term tracking. In CVPR, 2379-2386.
    • (2013) CVPR , pp. 2379-2386
    • Supancic, J.S.1    Ramanan, D.2
  • 27
    • 26844582271 scopus 로고    scopus 로고
    • Parameter convergence for em and mm algorithms
    • Vaida, F. 2005. Parameter convergence for em and mm algorithms. Statistica Sinica 831-840.
    • (2005) Statistica Sinica , pp. 831-840
    • Vaida, F.1
  • 28
    • 84867841972 scopus 로고    scopus 로고
    • A probabilistic approach to robust matrix factorization
    • Wang, N.; Yao, T.; Wang, J.; and Yeung, D.-Y. 2012. A probabilistic approach to robust matrix factorization. In ECCV, 126-139.
    • (2012) ECCV , pp. 126-139
    • Wang, N.1    Yao, T.2    Wang, J.3    Yeung, D.-Y.4
  • 30
    • 84949780810 scopus 로고    scopus 로고
    • Multi-view self-paced learning for clustering
    • Xu, C.; Tao, D.; and Xu, C. 2015. Multi-view self-paced learning for clustering. In IJCAI, 3974-3980.
    • (2015) IJCAI , pp. 3974-3980
    • Xu, C.1    Tao, D.2    Xu, C.3
  • 31
    • 71149108231 scopus 로고    scopus 로고
    • Robust feature extraction via information theoretic learning
    • Yuan, X.-T., and Hu, B.-G. 2009. Robust feature extraction via information theoretic learning. In ICML, 1193-1200.
    • (2009) ICML , pp. 1193-1200
    • Yuan, X.-T.1    Hu, B.-G.2
  • 32
    • 84973896942 scopus 로고    scopus 로고
    • A self-paced multiple-instance learning framework for co-saliency detection
    • Zhang, D.; Meng, D.; Li, C.; Jiang, L.; Zhao, Q.; and Han, J. 2015. A self-paced multiple-instance learning framework for co-saliency detection. In ICCV, 594-602.
    • (2015) ICCV , pp. 594-602
    • Zhang, D.1    Meng, D.2    Li, C.3    Jiang, L.4    Zhao, Q.5    Han, J.6
  • 33
    • 85006136405 scopus 로고    scopus 로고
    • Bridging saliency detection to weakly supervised object detection based on self-paced curriculum learning
    • Zhang, D.; Meng, D.; Zhao, L.; and Han, J. 2016. Bridging saliency detection to weakly supervised object detection based on self-paced curriculum learning. In IJCAI, 3538-3544.
    • (2016) IJCAI , pp. 3538-3544
    • Zhang, D.1    Meng, D.2    Zhao, L.3    Han, J.4
  • 34


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.