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Volumn , Issue , 2012, Pages 3021-3028

Robust late fusion with rank minimization

Author keywords

[No Author keywords available]

Indexed keywords

ABSOLUTE VALUES; COMPONENT MODEL; CONFIDENCE SCORE; DEVIATION ERRORS; INDIVIDUAL MODELS; LATE FUSION; LOW RANK; MINIMIZATION METHODS; MULTIPLE MODELS; OBJECT CATEGORIZATION; OPTIMIZATION OBJECTIVE FUNCTION; PERFORMANCE GAIN; RELATION MATRIX; RELATIONSHIP MATRIX; SCALE INVARIANT; SCORE FUSION; TEST SAMPLES; VIDEO EVENTS;

EID: 84866712367     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6248032     Document Type: Conference Paper
Times cited : (187)

References (23)
  • 1
    • 84866650860 scopus 로고    scopus 로고
    • 7
    • http://www.nist.gov/itl/iad/mig/med11.cfm/. 7
  • 2
    • 14344252374 scopus 로고    scopus 로고
    • Multiple kernel learning, conic duality, and the smo algorithm
    • 1, 2
    • F. R. Bach, G. R. G. Lanckriet, and M. I. Jordan. Multiple kernel learning, conic duality, and the smo algorithm. In ICML, 2004. 1, 2
    • (2004) ICML
    • Bach, F.R.1    Lanckriet, G.R.G.2    Jordan, M.I.3
  • 3
    • 70049111956 scopus 로고    scopus 로고
    • A singular value thresholding algorithm for matrix completion
    • 4
    • J.-F. Cai, E. J. Candes, and Z. Shen. A singular value thresholding algorithm for matrix completion. UCLA CAM Report, 2008. 4
    • (2008) UCLA CAM Report
    • Cai, J.-F.1    Candes, E.J.2    Shen, Z.3
  • 5
    • 85067032737 scopus 로고    scopus 로고
    • On feature combination for multiclass object classification
    • 1, 2, 5
    • P. Gehler and S. Nowozin. On feature combination for multiclass object classification. In ICCV, 2009. 1, 2, 5
    • (2009) ICCV
    • Gehler, P.1    Nowozin, S.2
  • 6
    • 80052681745 scopus 로고    scopus 로고
    • Rank aggregation via nuclear norm minimization
    • 2, 4, 5
    • D. F. Gleich and L.-H. Lim. Rank aggregation via nuclear norm minimization. In KDD, 2011. 2, 4, 5
    • (2011) KDD
    • Gleich, D.F.1    Lim, L.-H.2
  • 7
    • 69649095451 scopus 로고    scopus 로고
    • Fixed-point continuation for l1-minimization: Methodology and convergence
    • 4
    • E. T. Hale,W. Yin, and Y. Zhang. Fixed-point continuation for l1-minimization: methodology and convergence. SIAM Journal on Optimization, 2008. 4
    • (2008) SIAM Journal on Optimization
    • Hale, E.T.1    Yin, W.2    Zhang, Y.3
  • 10
    • 84905161670 scopus 로고    scopus 로고
    • Columbia-UCF trecvid 2010 multimedia event detection: Combining multiple modalities, contextual concepts, and temporal matching
    • 1
    • Y.-G. Jiang, G. Ye, S.-F. Chang, D. Ellis, and A. C. Loui. Columbia-ucf trecvid 2010 multimedia event detection: Combining multiple modalities, contextual concepts, and temporal matching. In TRECVID workshop, 2010. 1
    • (2010) TRECVID Workshop
    • Jiang, Y.-G.1    Ye, G.2    Chang, S.-F.3    Ellis, D.4    Loui, A.C.5
  • 11
    • 79959766559 scopus 로고    scopus 로고
    • Consumer video understanding: A benchmark database and an evaluation of human and machine performance
    • 6, 7
    • Y.-G. Jiang, G. Ye, S.-F. Chang, D. Ellis, and A. C. Loui. Consumer video understanding: A benchmark database and an evaluation of human and machine performance. In ICMR, 2011. 6, 7
    • (2011) ICMR
    • Jiang, Y.-G.1    Ye, G.2    Chang, S.-F.3    Ellis, D.4    Loui, A.C.5
  • 12
    • 24944451092 scopus 로고    scopus 로고
    • On space-time interest points
    • 6
    • I. Laptev. On space-time interest points. IJCV, 2005. 6
    • (2005) IJCV
    • Laptev, I.1
  • 13
    • 77955690054 scopus 로고    scopus 로고
    • The augmented lagrange multiplier method for exact recovery of a corrupted low-rank matrix
    • 2
    • Z. Lin, M. Chen, and Y. Ma. The augmented lagrange multiplier method for exact recovery of a corrupted low-rank matrix. UIUC Technical Report, 2009. 2
    • (2009) UIUC Technical Report
    • Lin, Z.1    Chen, M.2    Ma, Y.3
  • 14
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • 6
    • D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004. 6
    • (2004) IJCV
    • Lowe, D.1
  • 16
    • 33845570201 scopus 로고    scopus 로고
    • A visual vocabulary for flower classification
    • 6
    • M.-E. Nilsback and A. Zisserman. A visual vocabulary for flower classification. In ICCV, 2006. 6
    • (2006) ICCV
    • Nilsback, M.-E.1    Zisserman, A.2
  • 17
    • 65249121810 scopus 로고    scopus 로고
    • Automated flower classification over a large number of classes
    • 6
    • M.-E. Nilsback and A. Zisserman. Automated flower classification over a large number of classes. In ICVGIP, 2008. 6
    • (2008) ICVGIP
    • Nilsback, M.-E.1    Zisserman, A.2
  • 20
    • 84908571977 scopus 로고    scopus 로고
    • Multimedia semantic indexing using model vectors
    • 2
    • J. R. Smith, M. Naphade, and A. Natsev. Multimedia semantic indexing using model vectors. In ICME, 2003. 2
    • (2003) ICME
    • Smith, J.R.1    Naphade, M.2    Natsev, A.3
  • 21
    • 67650999671 scopus 로고    scopus 로고
    • Optimal classifier fusion in a nonbayesian probabilistic framework
    • 2
    • O. R. Terrades, E. Valveny, and S. Tabbone. Optimal classifier fusion in a nonbayesian probabilistic framework. TPAMI, 2009. 2
    • (2009) TPAMI
    • Terrades, O.R.1    Valveny, E.2    Tabbone, S.3
  • 22
    • 50649115912 scopus 로고    scopus 로고
    • Learning the discriminative power-invariance trade-off
    • 2
    • M. Varma and D. Ray. Learning the discriminative power-invariance trade-off. In ICCV, 2007. 2
    • (2007) ICCV
    • Varma, M.1    Ray, D.2
  • 23
    • 84863367863 scopus 로고    scopus 로고
    • Robust principal component analysis:exact recovery of corrupted low-rank matrices by convex optimization
    • 2, 4
    • J. Wright, Y. Peng, Y. Ma, A. Ganesh, and S. Rao. Robust principal component analysis:exact recovery of corrupted low-rank matrices by convex optimization. In NIPS, 2009. 2, 4
    • (2009) NIPS
    • Wright, J.1    Peng, Y.2    Ma, Y.3    Ganesh, A.4    Rao, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.