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Volumn 54, Issue 9, 2013, Pages 1373-1387

Neighborhood rough sets based multi-label classification for automatic image annotation

Author keywords

Automatic image annotation; Multi label classification; Neighborhood rough sets

Indexed keywords

AUTOMATIC IMAGE ANNOTATION; MAXIMUM A POSTERIORI; MULTI-LABEL CLASSIFICATIONS; MULTI-LABEL LEARNING; NEIGHBORHOOD ROUGH SETS; SEMANTIC CONCEPT; STATISTICAL INFORMATION; UPPER AND LOWER APPROXIMATION;

EID: 84885594642     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2013.06.003     Document Type: Article
Times cited : (76)

References (42)
  • 1
    • 80052749264 scopus 로고    scopus 로고
    • A review on automatic image annotation techniques
    • D. Zhang, M.M. Islam, and G. Lu A review on automatic image annotation techniques Pattern Recognition 45 1 2012 346 362
    • (2012) Pattern Recognition , vol.45 , Issue.1 , pp. 346-362
    • Zhang, D.1    Islam, M.M.2    Lu, G.3
  • 4
    • 42749095102 scopus 로고    scopus 로고
    • Region-based image retrieval with high-level semantics using decision tree learning
    • Y. Liu, D. Zhang, and G. Lu Region-based image retrieval with high-level semantics using decision tree learning Pattern Recognition 41 8 2008 2554 2570
    • (2008) Pattern Recognition , vol.41 , Issue.8 , pp. 2554-2570
    • Liu, Y.1    Zhang, D.2    Lu, G.3
  • 6
    • 84880088124 scopus 로고    scopus 로고
    • Symmetric statistical translation models for automatic image annotation
    • New Port, Beach, CA, April
    • F. Kang, and F. Jin Symmetric statistical translation models for automatic image annotation MProc. of SIAM Conf. on Data Mining New Port, Beach, CA, April 2005 21 23
    • (2005) MProc. of SIAM Conf. on Data Mining , pp. 21-23
    • Kang, F.1    Jin, F.2
  • 19
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • R.E. Schapire, and Y. Singer Boostexter: A boosting-based system for text categorization Machine Learning 39 2/3 2000 135 168
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 20
    • 8344282787 scopus 로고    scopus 로고
    • Learning multi-label alternating decision trees from texts and data
    • F.D. Comité, R. Gilleron, and M. Tommasi Learning multi-label alternating decision trees from texts and data Lecture Notes in Computer Science vol. 2734 2003 251 274
    • (2003) Lecture Notes in Computer Science , vol.2734 , pp. 251-274
    • Comité, F.D.1    Gilleron, R.2    Tommasi, M.3
  • 21
    • 33947681316 scopus 로고    scopus 로고
    • ML-kNN: A lazy learning approach to multi-label learning
    • M.L. Zhang, and Z.H. Zhou ML-kNN: A lazy learning approach to multi-label learning Pattern Recognition 40 7 2007 2038 2048
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.L.1    Zhou, Z.H.2
  • 22
    • 79959252247 scopus 로고    scopus 로고
    • A dependent multi-label classification method derived from the k-nearest neighbor rule
    • 10.1155/2011/645964 Article ID 645964 pp
    • Z. Younes, F. Abdallah, T. Denoeux, and H. Snoussi A dependent multi-label classification method derived from the k-nearest neighbor rule EURASIP Journal on Advances in Signal Processing 2011 2011 14 pp 10.1155/2011/645964 Article ID 645964
    • (2011) EURASIP Journal on Advances in Signal Processing , vol.2011 , pp. 14
    • Younes, Z.1    Abdallah, F.2    Denoeux, T.3    Snoussi, H.4
  • 24
    • 77949851470 scopus 로고    scopus 로고
    • Representing uncertainty on set-valued variables using belief functions
    • T. Denoeux, Z. Younes, and F. Abdallah Representing uncertainty on set-valued variables using belief functions Artificial Intelligence 174 7-8 2010 479 499
    • (2010) Artificial Intelligence , vol.174 , Issue.78 , pp. 479-499
    • Denoeux, T.1    Younes, Z.2    Abdallah, F.3
  • 25
    • 79957460742 scopus 로고    scopus 로고
    • Cost-sensitive multi-label learning for audio tag annotation and retrieval
    • J.C. Wang, H.M. Wang, and S.D. Lin Cost-sensitive multi-label learning for audio tag annotation and retrieval IEEE Transactions on Multimedia 13 2011 518 528
    • (2011) IEEE Transactions on Multimedia , vol.13 , pp. 518-528
    • Wang, J.C.1    Wang, H.M.2    Lin, S.D.3
  • 26
    • 84862960217 scopus 로고    scopus 로고
    • Hidden-concept driven multilabel image annotation and label ranking
    • T. Li, and S. Yan Hidden-concept driven multilabel image annotation and label ranking IEEE Transactions on Multimedia 14 1 2012 199 210
    • (2012) IEEE Transactions on Multimedia , vol.14 , Issue.1 , pp. 199-210
    • Li, T.1    Yan, S.2
  • 28
    • 84859075572 scopus 로고    scopus 로고
    • Semantic-gap-oriented active learning for multilabel image annotation
    • J. Tang, Z.J. Zha, D. Tao, and T.S. Chua Semantic-gap-oriented active learning for multilabel image annotation IEEE Transactions on Image Processing 21 4 2012 2354 2360
    • (2012) IEEE Transactions on Image Processing , vol.21 , Issue.4 , pp. 2354-2360
    • Tang, J.1    Zha, Z.J.2    Tao, D.3    Chua, T.S.4
  • 33
    • 79955558276 scopus 로고    scopus 로고
    • A sequential pattern mining algorithm using rough set theory
    • K. Kaneiwa, and Y. Kudo A sequential pattern mining algorithm using rough set theory International Journal of Approximate Reasoning 52 6 2011 881 893
    • (2011) International Journal of Approximate Reasoning , vol.52 , Issue.6 , pp. 881-893
    • Kaneiwa, K.1    Kudo, Y.2
  • 34
    • 79551682436 scopus 로고    scopus 로고
    • Rough set based maximum relevance-maximum significance criterion and gene selection from microarray data
    • P. Maji, and S. Pau Rough set based maximum relevance-maximum significance criterion and gene selection from microarray data International Journal of Approximate Reasoning 52 3 2011 408 426
    • (2011) International Journal of Approximate Reasoning , vol.52 , Issue.3 , pp. 408-426
    • Maji, P.1    Pau, S.2
  • 35
    • 0032204205 scopus 로고    scopus 로고
    • Relational interpretations of neighborhood operators and rough set approximation operators
    • Y.Y. Yao Relational interpretations of neighborhood operators and rough set approximation operators Information Sciences 111 1998 239 259
    • (1998) Information Sciences , vol.111 , pp. 239-259
    • Yao, Y.Y.1
  • 36
    • 42949087870 scopus 로고    scopus 로고
    • Mixed feature selection based on granulation and approximation
    • Q. Hu, J. Liu, and D. Yu Mixed feature selection based on granulation and approximation Knowledge-Based Systems 21 2008 294 304
    • (2008) Knowledge-Based Systems , vol.21 , pp. 294-304
    • Hu, Q.1    Liu, J.2    Yu, D.3
  • 37
    • 77955091406 scopus 로고    scopus 로고
    • Selecting discrete and continuous features based on neighborhood decision error minimization
    • Q. Hu, W. Pedrycz, and D. Yu Selecting discrete and continuous features based on neighborhood decision error minimization IEEE Transactions on Systems, Man, and Cybernetics, Part B 40 1 2010 137 150
    • (2010) IEEE Transactions on Systems, Man, and Cybernetics, Part B , vol.40 , Issue.1 , pp. 137-150
    • Hu, Q.1    Pedrycz, W.2    Yu, D.3
  • 38
    • 46749140199 scopus 로고    scopus 로고
    • Neighborhood rough set based heterogeneous feature subset selection[J]
    • Q. Hu, D. Yu, and J. Liu Neighborhood rough set based heterogeneous feature subset selection[J] Information Sciences 178 18 2008 3577 3594
    • (2008) Information Sciences , vol.178 , Issue.18 , pp. 3577-3594
    • Hu, Q.1    Yu, D.2    Liu, J.3
  • 39
    • 33748366796 scopus 로고    scopus 로고
    • Multi-label neural networks with applications to functional genomics and text categorization
    • M.L. Zhang, and Z.H. Zhou Multi-label neural networks with applications to functional genomics and text categorization IEEE Transactions on Knowledge and Data Engineering 18 10 2006 1338 1351
    • (2006) IEEE Transactions on Knowledge and Data Engineering , vol.18 , Issue.10 , pp. 1338-1351
    • Zhang, M.L.1    Zhou, Z.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.