메뉴 건너뛰기




Volumn 25, Issue 2, 2013, Pages 374-386

Finding rare classes: Active learning with generative and discriminative models

Author keywords

Active learning; classification; discriminative models; generative models; imbalanced learning; rare class discovery

Indexed keywords

ACTIVE LEARNING; DISCRIMINATIVE MODELS; GENERATIVE MODEL; IMBALANCED LEARNING; RARE CLASS;

EID: 84871822277     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2011.231     Document Type: Article
Times cited : (78)

References (37)
  • 5
    • 80054954521 scopus 로고    scopus 로고
    • Identifying rare and subtle behaviours: A weakly supervised joint topic model
    • Dec.
    • T. Hospedales, J. Li, S. Gong, and T. Xiang, "Identifying Rare and Subtle Behaviours: A Weakly Supervised Joint Topic Model," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 33, no. 12, pp. 2451-2464, Dec. 2011.
    • (2011) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.33 , Issue.12 , pp. 2451-2464
    • Hospedales, T.1    Li, J.2    Gong, S.3    Xiang, T.4
  • 6
    • 68949137209 scopus 로고    scopus 로고
    • Active learning literature survey
    • Univ. Wisconsin-Madison
    • B. Settles, "Active Learning Literature Survey," Technical Report 1648, Univ. Wisconsin-Madison, 2009.
    • (2009) Technical Report 1648
    • Settles, B.1
  • 7
    • 79952368651 scopus 로고    scopus 로고
    • Active learning in multimedia annotation and retrieval: A survey
    • M. Wang and X.-S. Hua, "Active Learning in Multimedia Annotation and Retrieval: A Survey," ACM Trans. Intelligent Systems and Technology, vol. 2, pp. 10:1-10:21, 2011.
    • (2011) ACM Trans. Intelligent Systems and Technology , vol.2 , pp. 101-1021
    • Wang, M.1    Hua, X.-S.2
  • 8
    • 1942418620 scopus 로고    scopus 로고
    • On Discriminative vs. Generative classifiers: A comparison of logistic regression and naive bayes
    • A. Ng and M. Jordan, "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes," Proc. Neural Information Processing Systems, 2001.
    • (2001) Proc. Neural Information Processing Systems
    • Ng, A.1    Jordan, M.2
  • 9
    • 7544223741 scopus 로고    scopus 로고
    • A Survey of outlier detection methodologies
    • V. J. Hodge and J. Austin, "A Survey of Outlier Detection Methodologies," Artificial Intelligence Rev., vol. 22, pp. 85-126, 2004.
    • (2004) Artificial Intelligence Rev , vol.22 , pp. 85-126
    • Hodge, V.J.1    Austin, J.2
  • 12
    • 0003007938 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong and D. Koller, "Support Vector Machine Active Learning with Applications to Text Classification," Proc. Int'l Conf. Machine Learning, 2000.
    • (2000) Proc. Int'l Conf. Machine Learning
    • Tong, S.1    Koller, D.2
  • 14
    • 0442319140 scopus 로고    scopus 로고
    • Toward optimal active learning through sampling estimation of error reduction
    • N. Roy and A. McCallum, "Toward Optimal Active Learning through Sampling Estimation of Error Reduction," Proc. Int'l Conf. Machine Learning, pp. 441-448, 2001.
    • (2001) Proc. Int'l Conf. Machine Learning , pp. 441-448
    • Roy, N.1    McCallum, A.2
  • 17
  • 21
    • 55849114874 scopus 로고    scopus 로고
    • Comment on " Discriminative versus generative classifiers: A comparison of logistic regression and naive bayes
    • J.-H. Xue and D. M. Titterington, "Comment on "Discriminative versus Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes"," Neural Processing Letters, vol. 28, no. 3, pp. 169-187, 2008.
    • (2008) Neural Processing Letters , vol.28 , Issue.3 , pp. 169-187
    • Xue, J.-H.1    Titterington, D.M.2
  • 22
    • 77949490233 scopus 로고    scopus 로고
    • Object classification by fusing svms and gaussian mixtures
    • T. Deselaers, G. Heigold, and H. Ney, "Object Classification by Fusing Svms and Gaussian Mixtures," Pattern Recognition, vol. 43, no. 7, pp. 2476-2484, 2010.
    • (2010) Pattern Recognition , vol.43 , Issue.7 , pp. 2476-2484
    • Deselaers, T.1    Heigold, G.2    Ney, H.3
  • 26
    • 60849106960 scopus 로고    scopus 로고
    • Active learning for object classification: From exploration to exploitation
    • N. Cebron and M. R. Berthold, "Active Learning for Object Classification: From Exploration to Exploitation," Data Mining and Knowledge Discovery, vol. 18, no. 2, pp. 283-299, 2009.
    • (2009) Data Mining and Knowledge Discovery , vol.18 , Issue.2 , pp. 283-299
    • Cebron, N.1    Berthold, M.R.2
  • 28
    • 51349159085 scopus 로고    scopus 로고
    • Probability estimates for multi-class classification by pairwise coupling
    • T.-F. Wu, C.-J. Lin, and R. C. Weng, "Probability Estimates for Multi-Class Classification by Pairwise Coupling," J. Machine Learning Research, vol. 5, pp. 975-1005, 2004.
    • (2004) J. Machine Learning Research , vol.5 , pp. 975-1005
    • Wu, T.-F.1    Lin, C.-J.2    Weng, R.C.3
  • 32
  • 34
    • 33745933878 scopus 로고    scopus 로고
    • Combining generative models and fisher kernels for object recognition
    • DOI 10.1109/ICCV.2005.56, 1541249, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
    • A. D. Holub, M. Welling, and P. Perona, "Combining Generative Models and Fisher Kernels for Object Recognition," Proc. IEEE Int'l Conf. Computer Vision, pp. 136-143, 2005. (Pubitemid 44054951)
    • (2005) Proceedings of the IEEE International Conference on Computer Vision , vol.I , pp. 136-143
    • Holub, A.D.1    Welling, M.2    Perona, P.3
  • 36
    • 68549133155 scopus 로고    scopus 로고
    • Learning from imbalanced data
    • Sept
    • H. He and E. Garcia, "Learning from Imbalanced Data," IEEE Trans. Data and Knowledge Eng., vol. 21, no. 9, pp. 1263-1284, Sept. 2009.
    • (2009) IEEE Trans. Data and Knowledge Eng , vol.21 , Issue.9 , pp. 1263-1284
    • He, H.1    Garcia, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.