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Volumn , Issue , 2014, Pages 200-207

Inferring analogous attributes

Author keywords

[No Author keywords available]

Indexed keywords

LARGE DATASET; PATTERN RECOGNITION; TRANSFER LEARNING;

EID: 84911419520     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.33     Document Type: Conference Paper
Times cited : (64)

References (30)
  • 1
    • 84856675275 scopus 로고    scopus 로고
    • Tabula rasa: Model transfer for object category detection
    • Y. Aytar and A. Zisserman. Tabula rasa: Model transfer for object category detection. In ICCV, 2011.
    • (2011) ICCV
    • Aytar, Y.1    Zisserman, A.2
  • 2
    • 33745139169 scopus 로고    scopus 로고
    • Cross-generalization: Learning novel classes from a single example by feature replacement
    • E. Bart and S. Ullman. Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. In CVPR, 2005.
    • (2005) CVPR
    • Bart, E.1    Ullman, S.2
  • 5
    • 0344983284 scopus 로고    scopus 로고
    • A Bayesian approach to unsu-pervised one-shot learning of object categories
    • L. Fei-Fei, R. Fergus, and P. Perona. A Bayesian approach to unsu-pervised one-shot learning of object categories. In ICCV, 2003.
    • (2003) ICCV
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 6
    • 70450219358 scopus 로고    scopus 로고
    • Learning Visual Attributes
    • V. Ferrari and A. Zisserman. Learning Visual Attributes. In NIPS, 2007.
    • (2007) NIPS
    • Ferrari, V.1    Zisserman, A.2
  • 7
    • 0030655215 scopus 로고    scopus 로고
    • Learning bilinear models for two-factor problems in vision
    • W. T. Freeman and J. B. Tenenbaum. Learning bilinear models for two-factor problems in vision. In CVPR, 1997.
    • (1997) CVPR
    • Freeman, W.T.1    Tenenbaum, J.B.2
  • 8
    • 84897567638 scopus 로고    scopus 로고
    • Analogy-preserving semantic embedding for visual object categorization
    • S. J. Hwang, K. Grauman, and F. Sha. Analogy-preserving semantic embedding for visual object categorization. In ICML, 2013.
    • (2013) ICML
    • Hwang, S.J.1    Grauman, K.2    Sha, F.3
  • 9
    • 80052908079 scopus 로고    scopus 로고
    • Sharing features between objects and their attributes
    • S. J. Hwang, F. Sha, and K. Grauman. Sharing features between objects and their attributes. In CVPR, 2011.
    • (2011) CVPR
    • Hwang, S.J.1    Sha, F.2    Grauman, K.3
  • 10
    • 70049084979 scopus 로고    scopus 로고
    • Clustered multi-task learning: A convex formulation
    • L. Jacob, F. Bach, and J. Vert. Clustered multi-task learning: a convex formulation. In NIPS, 2008.
    • (2008) NIPS
    • Jacob, L.1    Bach, F.2    Vert, J.3
  • 11
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. Computer, 2009.
    • (2009) Computer
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 12
    • 77953185711 scopus 로고    scopus 로고
    • Attribute and simile classifiers for face verification
    • N. Kumar, A. Berg, P. Belhumeur, and S. Nayar. Attribute and Simile Classifiers for Face Verification. In ICCV, 2009.
    • (2009) ICCV
    • Kumar, N.1    Berg, A.2    Belhumeur, P.3    Nayar, S.4
  • 13
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • C. Lampert, H. Nickisch, and S. Harmeling. Learning to Detect Unseen Object Classes by Between-Class Attribute Transfer. In CVPR, 2009.
    • (2009) CVPR
    • Lampert, C.1    Nickisch, H.2    Harmeling, S.3
  • 14
    • 84911391007 scopus 로고    scopus 로고
    • Transfer learning by borrowing examples for multiclass object detection
    • J. Lim, R. Salakhutdinov, and A. Torralba. Transfer learning by borrowing examples for multiclass object detection. In NIPS, 2002.
    • (2002) NIPS
    • Lim, J.1    Salakhutdinov, R.2    Torralba, A.3
  • 15
    • 85100063855 scopus 로고    scopus 로고
    • Tensor completion for estimating missing values in visual data
    • J. Liu, P. Musialski, P. Wonka, and J. Ye. Tensor completion for estimating missing values in visual data. In ICCV, 2009.
    • (2009) ICCV
    • Liu, J.1    Musialski, P.2    Wonka, P.3    Ye, J.4
  • 16
  • 17
    • 84866637964 scopus 로고    scopus 로고
    • Sun attribute database: Discovering, annotating, and recognizing scene attributes
    • G. Patterson and J. Hays. Sun attribute database: Discovering, annotating, and recognizing scene attributes. In CVPR, 2012.
    • (2012) CVPR
    • Patterson, G.1    Hays, J.2
  • 18
    • 51949094374 scopus 로고    scopus 로고
    • Transfer learning for image classification with sparse prototype representations
    • A. Quattoni, M. Collins, and T. Darrell. Transfer learning for image classification with sparse prototype representations. In CVPR, 2008.
    • (2008) CVPR
    • Quattoni, A.1    Collins, M.2    Darrell, T.3
  • 21
    • 77956005674 scopus 로고    scopus 로고
    • Safety in numbers: Learning categories from few examples with multi model knowledge transfer
    • T. Tommasi, F. Orabona, and B. Caputo. Safety in numbers: learning categories from few examples with multi model knowledge transfer. In CVPR, 2010.
    • (2010) CVPR
    • Tommasi, T.1    Orabona, F.2    Caputo, B.3
  • 22
    • 0043002932 scopus 로고    scopus 로고
    • Multilinear analysis of image ensembles: Tensorfaces
    • M. A. O. Vasilescu and D. Terzopoulos. Multilinear analysis of image ensembles: Tensorfaces. In ECCV, 2002.
    • (2002) ECCV
    • Vasilescu, M.A.O.1    Terzopoulos, D.2
  • 23
    • 77955989063 scopus 로고    scopus 로고
    • Efficient additive kernels via explicit feature maps
    • A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. In CVPR, 2010.
    • (2010) CVPR
    • Vedaldi, A.1    Zisserman, A.2
  • 25
    • 77953177673 scopus 로고    scopus 로고
    • Joint learning of visual attributes, object classes and visual saliency
    • G. Wang and D. Forsyth. Joint learning of visual attributes, object classes and visual saliency. In ICCV, 2009.
    • (2009) ICCV
    • Wang, G.1    Forsyth, D.2
  • 26
    • 77955997493 scopus 로고    scopus 로고
    • Comparative object similarity for improved recognition with few or no examples
    • G. Wang, D. Forsyth, and D. Hoiem. Comparative object similarity for improved recognition with few or no examples. In CVPR, 2010.
    • (2010) CVPR
    • Wang, G.1    Forsyth, D.2    Hoiem, D.3
  • 27
    • 80052913382 scopus 로고    scopus 로고
    • A discriminative latent model of object classes and attributes
    • Y. Wang and G. Mori. A discriminative latent model of object classes and attributes. In ECCV, 2010.
    • (2010) ECCV
    • Wang, Y.1    Mori, G.2
  • 28
    • 80052121737 scopus 로고    scopus 로고
    • Temporal collaborative filtering with Bayesian probabilistic tensor factorization
    • L. Xiong, X. Chen, T. Huang, J. Schneider, and J. Carbonell. Temporal collaborative filtering with Bayesian probabilistic tensor factorization. In SDM, 2010.
    • (2010) SDM
    • Xiong, L.1    Chen, X.2    Huang, T.3    Schneider, J.4    Carbonell, J.5
  • 29
    • 37849026107 scopus 로고    scopus 로고
    • Cross-domain video concept detection using adaptive svms
    • J. Yang, R. Yan, and A. Hauptmann. Cross-domain video concept detection using adaptive svms. In ACM Multimedia, 2007.
    • (2007) ACM Multimedia
    • Yang, J.1    Yan, R.2    Hauptmann, A.3
  • 30
    • 84887368641 scopus 로고    scopus 로고
    • Designing category-level attributes for discriminative visual recognition
    • F. Yu, L. Cao, R. Feris, J. Smith, and S.-F. Chang. Designing category-level attributes for discriminative visual recognition. In CVPR, 2013.
    • (2013) CVPR
    • Yu, F.1    Cao, L.2    Feris, R.3    Smith, J.4    Chang, S.-F.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.