메뉴 건너뛰기




Volumn 2016-August, Issue , 2016, Pages

Nonlinear metric learning for visual tracking

Author keywords

Nonlinear metric learning; similarity learning; visual tracking

Indexed keywords

NETWORK ARCHITECTURE; NEURAL NETWORKS; TRACKING (POSITION);

EID: 84987664752     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2016.7552985     Document Type: Conference Paper
Times cited : (4)

References (26)
  • 6
    • 84866651280 scopus 로고    scopus 로고
    • Order determination and sparsity-regularized metric learning adaptive visual tracking
    • Nan Jiang, Wenyu Liu, and Ying Wu, "Order determination and sparsity-regularized metric learning adaptive visual tracking," in IEEE Conference on Computer Vision and Pattern Recognition, 2012, pp. 1956-1963
    • (2012) IEEE Conference on Computer Vision and Pattern Recognition , pp. 1956-1963
    • Jiang, N.1    Liu, W.2    Wu, Y.3
  • 17
    • 33846040203 scopus 로고    scopus 로고
    • A kernel approach for semisupervised metric learning
    • Dit-Yan Yeung and Hong Chang, "A kernel approach for semisupervised metric learning," IEEE Transactions on Neural Networks, vol. 18, no. 1, pp. 141-149, 2007
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.1 , pp. 141-149
    • Yeung, D.-Y.1    Chang, H.2
  • 24
    • 31844451557 scopus 로고    scopus 로고
    • Fast maximum margin matrix factorization for collaborative prediction
    • Jason D. M. Rennie and Nathan Srebro, "Fast maximum margin matrix factorization for collaborative prediction," in International Conference on Machine Learning, 2005, pp. 713-719
    • (2005) International Conference on Machine Learning , pp. 713-719
    • Rennie, M.J.D.1    Srebro, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.