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Volumn 3, Issue , 2017, Pages 75-87

Visual-interactive similarity search for complex objects by example of soccer player analysis

Author keywords

Active learning; Complex data objects; Distance measures; Feature selection; Information retrieval; Information visualization; Similarity learning; Similarity search; Soccer player analysis; Visual analytics

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; DATA MINING; DATA VISUALIZATION; FEATURE EXTRACTION; INFORMATION RETRIEVAL; INFORMATION SYSTEMS; SPORTS; VISUALIZATION;

EID: 85039077962     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0006116400750087     Document Type: Conference Paper
Times cited : (12)

References (40)
  • 3
    • 84947222450 scopus 로고    scopus 로고
    • Learning visual similarity for product design with convolutional neural networks
    • Bell, S. and Bala, K. (2015). Learning visual similarity for product design with convolutional neural networks. ACM Transactions on Graphics (TOG), 34(4):98.
    • (2015) ACM Transactions on Graphics (TOG) , vol.34 , Issue.4 , pp. 98
    • Bell, S.1    Bala, K.2
  • 11
    • 24644436425 scopus 로고    scopus 로고
    • Learning a similarity metric discriminatively, with application to face verification
    • IEEE
    • Chopra, S., Hadsell, R., and LeCun, Y. (2005). Learning a similarity metric discriminatively, with application to face verification. In Computer Vision and Pattern Recognition (CVPR), pages 539-546. IEEE.
    • (2005) Computer Vision and Pattern Recognition (CVPR) , pp. 539-546
    • Chopra, S.1    Hadsell, R.2    LeCun, Y.3
  • 13
    • 50649117726 scopus 로고    scopus 로고
    • Learning globally-consistent local distance functions for shape-based image retrieval and classification
    • IEEE
    • Frome, A., Singer, Y., Sha, F., and Malik, J. (2007). Learning globally-consistent local distance functions for shape-based image retrieval and classification. In Conference on Computer Vision, pages 1-8. IEEE.
    • (2007) Conference on Computer Vision , pp. 1-8
    • Frome, A.1    Singer, Y.2    Sha, F.3    Malik, J.4
  • 20
    • 84863411575 scopus 로고    scopus 로고
    • Ensemble of exemplar-svms for object detection and beyond
    • IEEE
    • Malisiewicz, T., Gupta, A., and Efros, A. A. (2011). Ensemble of exemplar-svms for object detection and beyond. In Conf. on Computer Vision, pages 89-96. IEEE.
    • (2011) Conf. on Computer Vision , pp. 89-96
    • Malisiewicz, T.1    Gupta, A.2    Efros, A.A.3
  • 24
    • 80455158726 scopus 로고    scopus 로고
    • Learning a nonlinear embedding by preserving class neighbourhood structure
    • Salakhutdinov, R. and Hinton, G. E. (2007). Learning a nonlinear embedding by preserving class neighbourhood structure. In AISTATS, pages 412-419.
    • (2007) AISTATS , pp. 412-419
    • Salakhutdinov, R.1    Hinton, G.E.2
  • 25
    • 0003268218 scopus 로고    scopus 로고
    • Improving retrieval performance by relevance feedback
    • Salton, G. and Buckley, C. (1997). Improving retrieval performance by relevance feedback. Readings in Information Retrieval, 24:5.
    • (1997) Readings in Information Retrieval , vol.24 , pp. 5
    • Salton, G.1    Buckley, C.2
  • 29
    • 68949137209 scopus 로고    scopus 로고
    • Computer Sciences Technical Report 1648, University of Wisconsin-Madison
    • Settles, B. (2009). Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison.
    • (2009) Active Learning Literature Survey
    • Settles, B.1
  • 33
    • 58149411184 scopus 로고
    • Features of similarity
    • Tversky, A. (1977). Features of similarity. Psychological review, 84(4):327.
    • (1977) Psychological Review , vol.84 , Issue.4 , pp. 327
    • Tversky, A.1
  • 36
    • 61749090884 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • Weinberger, K. Q. and Saul, L. K. (2009). Distance metric learning for large margin nearest neighbor classification. Machine Learning Research, 10:207-244.
    • (2009) Machine Learning Research , vol.10 , pp. 207-244
    • Weinberger, K.Q.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.