메뉴 건너뛰기




Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 1511-1519

Learning discriminative reconstructions for unsupervised outlier removal

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; LEARNING SYSTEMS;

EID: 84973889498     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.177     Document Type: Conference Paper
Times cited : (360)

References (27)
  • 2
    • 0024220237 scopus 로고
    • Auto-association by multilayer perceptrons and singular value decomposition
    • 1, 7
    • H. Bourlard and Y. Kamp. Auto-association by multilayer perceptrons and singular value decomposition. Biological cybernetics, 59(4-5):291-294, 1988. 1, 7
    • (1988) Biological Cybernetics , vol.59 , Issue.4-5 , pp. 291-294
    • Bourlard, H.1    Kamp, Y.2
  • 5
    • 84898803720 scopus 로고    scopus 로고
    • Neil: Extracting visual knowledge from web data
    • 1
    • X. Chen, A. Shrivastava, and A. Gupta. Neil: Extracting visual knowledge from web data. In ICCV, 2013. 1
    • (2013) ICCV
    • Chen, X.1    Shrivastava, A.2    Gupta, A.3
  • 6
    • 0009900351 scopus 로고    scopus 로고
    • Anomaly detection over noisy data using learned probability distributions
    • 1, 2
    • E. Eskin. Anomaly detection over noisy data using learned probability distributions. In ICML, 2000. 1, 2
    • (2000) ICML
    • Eskin, E.1
  • 8
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
    • 6
    • L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. In CVPR, 2004. 6
    • (2004) CVPR
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 9
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • 6, 8
    • G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 2006. 6, 8
    • (2006) Science
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 12
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • 3, 7
    • A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012. 3, 7
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 14
    • 84911442644 scopus 로고    scopus 로고
    • Unsupervised one-class learning for automatic outlier removal
    • 1, 2, 6, 7, 8
    • W. Liu, G. Hua, and J. R. Smith. Unsupervised one-class learning for automatic outlier removal. In CVPR, 2014. 1, 2, 6, 7, 8
    • (2014) CVPR
    • Liu, W.1    Hua, G.2    Smith, J.R.3
  • 16
    • 33847410597 scopus 로고    scopus 로고
    • One-class document classification via neural networks
    • 1, 2
    • L. Manevitz and M. Yousef. One-class document classification via neural networks. Neurocomputing, 2007. 1, 2
    • (2007) Neurocomputing
    • Manevitz, L.1    Yousef, M.2
  • 17
    • 0039845384 scopus 로고    scopus 로고
    • Efficient algorithms for mining outliers from large data sets
    • 1, 2
    • S. Ramaswamy, R. Rastogi, and K. Shim. Efficient algorithms for mining outliers from large data sets. In ACM SIGMOD Record, 2000. 1, 2
    • (2000) ACM SIGMOD Record
    • Ramaswamy, S.1    Rastogi, R.2    Shim, K.3
  • 24
    • 77955996870 scopus 로고    scopus 로고
    • Locality-constrained linear coding for image classification
    • 7
    • J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, pages 3360-3367, 2010. 7
    • (2010) CVPR , pp. 3360-3367
    • Wang, J.1    Yang, J.2    Yu, K.3    Lv, F.4    Huang, T.5    Gong, Y.6
  • 25
    • 84951972106 scopus 로고    scopus 로고
    • Well begun is half done: Generating high-quality seeds for automatic image dataset construction from web
    • 1, 6, 7
    • Y. Xia, X. Cao, F. Wen, and J. Sun. Well begun is half done: generating high-quality seeds for automatic image dataset construction from web. In ECCV, 2014. 1, 6, 7
    • (2014) ECCV
    • Xia, Y.1    Cao, X.2    Wen, F.3    Sun, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.