메뉴 건너뛰기




Volumn , Issue , 2011, Pages 2729-2736

Learning invariance through imitation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; SOFTWARE ENGINEERING;

EID: 80052908982     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995538     Document Type: Conference Paper
Times cited : (40)

References (30)
  • 1
    • 5044238246 scopus 로고    scopus 로고
    • Boostmap: A method for efficient approximate similarity rankings
    • 2729
    • V. Athitsos, J. Alon, S. Sclaroff, and G. Kollios. Boostmap: A method for efficient approximate similarity rankings. CVPR, 2004. 2729
    • (2004) CVPR
    • Athitsos, V.1    Alon, J.2    Sclaroff, S.3    Kollios, G.4
  • 2
    • 0039765609 scopus 로고
    • Learning to categorize objects using temporal coherence
    • 2730
    • S. Becker. Learning to categorize objects using temporal coherence. In NIPS, pages 361-368, 1993. 2730
    • (1993) NIPS , pp. 361-368
    • Becker, S.1
  • 3
    • 85112851150 scopus 로고    scopus 로고
    • Poselets: Body part detectors trained using 3d human pose annotations
    • 2730
    • L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. In CVPR, pages 1365-1372, 2010. 2730
    • (2010) CVPR , pp. 1365-1372
    • Bourdev, L.1    Malik, J.2
  • 4
    • 36448986732 scopus 로고    scopus 로고
    • Reliable information retrieval evaluation with incomplete and biased judgements
    • 2733
    • S. Büttcher, C. L. A. Clarke, P. C. K. Yeung, and I. Soboroff. Reliable information retrieval evaluation with incomplete and biased judgements. In SIGIR, pages 63-70, 2007. 2733
    • (2007) SIGIR , pp. 63-70
    • Büttcher, S.1    Clarke, C.L.A.2    Yeung, P.C.K.3    Soboroff, I.4
  • 8
    • 0344982832 scopus 로고    scopus 로고
    • Inferring 3d structure with a statistical image-based shape model
    • 2729
    • K. Grauman, G. Shakhnarovich, and T. Darrell. Inferring 3d structure with a statistical image-based shape model. In ICCV, pages 641-648, 2003. 2729
    • (2003) ICCV , pp. 641-648
    • Grauman, K.1    Shakhnarovich, G.2    Darrell, T.3
  • 9
    • 33845594569 scopus 로고    scopus 로고
    • Dimensionality reduction by learning an invariant mapping
    • 2729, 2730, 2731, 2734
    • R. Hadsell, S. Chopra, and Y. LeCun. Dimensionality reduction by learning an invariant mapping. In CVPR, pages 1735-1742, 2006. 2729, 2730, 2731, 2734
    • (2006) CVPR , pp. 1735-1742
    • Hadsell, R.1    Chopra, S.2    LeCun, Y.3
  • 10
    • 80052888826 scopus 로고    scopus 로고
    • Inferring motor programs from images of handwritten digits
    • 2732
    • G. E. Hinton and V. Nair. Inferring motor programs from images of handwritten digits. In NIPS, 2006. 2732
    • (2006) NIPS
    • Hinton, G.E.1    Nair, V.2
  • 11
    • 84898964829 scopus 로고    scopus 로고
    • Stochastic neighbor embedding
    • 2730
    • G. E. Hinton and S. T. Roweis. Stochastic neighbor embedding. In NIPS, pages 833-840, 2003. 2730
    • (2003) NIPS , pp. 833-840
    • Hinton, G.E.1    Roweis, S.T.2
  • 12
    • 51949104743 scopus 로고    scopus 로고
    • Fast image search for learned metrics
    • Los Alamitos, CA, USA, 2730
    • P. Jain, B. Kulis, and K. Grauman. Fast image search for learned metrics. In CVPR, Los Alamitos, CA, USA, 2008. 2730
    • (2008) CVPR
    • Jain, P.1    Kulis, B.2    Grauman, K.3
  • 13
    • 70049083257 scopus 로고    scopus 로고
    • Fast inference in sparse coding algorithms with applications to object recognition
    • CBLL-TR-2008-12-01. 2735
    • K. Kavukcuoglu, M. Ranzato, and Y. LeCun. Fast inference in sparse coding algorithms with applications to object recognition. Technical report, NYU, 2008. CBLL-TR-2008-12-01. 2735
    • (2008) Technical Report, NYU
    • Kavukcuoglu, K.1    Ranzato, M.2    LeCun, Y.3
  • 14
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • 2732
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proc. IEEE, 86(11):2278-2324, 1998. 2732
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 15
    • 71149084945 scopus 로고    scopus 로고
    • Deep learning from temporal coherence in video
    • 2730
    • H. Mobahi, R. Collobert, and J. Weston. Deep learning from temporal coherence in video. In ICML, pages 737-744, 2009. 2730
    • (2009) ICML , pp. 737-744
    • Mobahi, H.1    Collobert, R.2    Weston, J.3
  • 16
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • 2734
    • A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42(3):145-175, 2001. 2734
    • (2001) International Journal of Computer Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 17
    • 38949193299 scopus 로고    scopus 로고
    • Why is real-world visual object recognition hard?
    • 2734
    • N. Pinto, D. Cox, and J. DiCarlo. Why is real-world visual object recognition hard? PLoS Comput Biol, 4(1), 2008. 2734
    • (2008) PLoS Comput Biol , vol.4 , Issue.1
    • Pinto, N.1    Cox, D.2    DiCarlo, J.3
  • 18
  • 19
    • 70450177588 scopus 로고    scopus 로고
    • Building a database of 3D scenes from user annotations
    • 2730
    • B. Russell and A. Torralba. Building a database of 3D scenes from user annotations. In CVPR, pages 2711-2718, 2009. 2730
    • (2009) CVPR , pp. 2711-2718
    • Russell, B.1    Torralba, A.2
  • 21
    • 51949105316 scopus 로고    scopus 로고
    • Learning a nonlinear embedding by preserving class neighbourhood structure
    • 2729, 2730, 2732
    • R. Salakhutdinov and G. Hinton. Learning a nonlinear embedding by preserving class neighbourhood structure. In AISTATS, volume 11, 2007. 2729, 2730, 2732
    • (2007) AISTATS , vol.11
    • Salakhutdinov, R.1    Hinton, G.2
  • 22
    • 0345414554 scopus 로고    scopus 로고
    • Fast pose estimation with parameter-sensitive hashing
    • 2729, 2730
    • G. Shakhnarovich, P. Viola, and T. Darrell. Fast pose estimation with parameter-sensitive hashing. In ICCV, pages 750-759, 2003. 2729, 2730
    • (2003) ICCV , pp. 750-759
    • Shakhnarovich, G.1    Viola, P.2    Darrell, T.3
  • 23
    • 33749993686 scopus 로고    scopus 로고
    • Conditional models for contextual human motion recognition
    • 2730
    • C. Sminchisescu, A. Kanaujia, and D. Metaxas. Conditional models for contextual human motion recognition. CVIU, 104(2-3):210-220, 2006. 2730
    • (2006) CVIU , vol.104 , Issue.2-3 , pp. 210-220
    • Sminchisescu, C.1    Kanaujia, A.2    Metaxas, D.3
  • 24
    • 80053360508 scopus 로고    scopus 로고
    • Cheap and fast-but is it good?: Evaluating non-expert annotations for natural language tasks
    • Association for Computational Linguistics, 2730
    • R. Snow, B. O'Connor, D. Jurafsky, and A. Ng. Cheap and fast-but is it good?: evaluating non-expert annotations for natural language tasks. In Proc. of the Conf. on Empirical Methods in NLP, pages 254-263. Association for Computational Linguistics, 2008. 2730
    • (2008) Proc. of the Conf. on Empirical Methods in NLP , pp. 254-263
    • Snow, R.1    O'Connor, B.2    Jurafsky, D.3    Ng, A.4
  • 27
    • 84864026688 scopus 로고    scopus 로고
    • Modeling human motion using binary latent variables
    • 2730
    • G. W. Taylor, G. E. Hinton, and S. T. Roweis. Modeling human motion using binary latent variables. In NIPS, pages 1345-1352, 2007. 2730
    • (2007) NIPS , pp. 1345-1352
    • Taylor, G.W.1    Hinton, G.E.2    Roweis, S.T.3
  • 28
    • 51949119257 scopus 로고    scopus 로고
    • Small codes and large image databases for recognition
    • 2729, 2730, 2732
    • A. Torralba, R. Fergus, and Y. Weiss. Small codes and large image databases for recognition. In CVPR, 2008. 2729, 2730, 2732
    • (2008) CVPR
    • Torralba, A.1    Fergus, R.2    Weiss, Y.3
  • 29
    • 84864069214 scopus 로고    scopus 로고
    • Gaussian process dynamical models
    • 2730
    • J. M. Wang, D. J. Fleet, and A. Hertzmann. Gaussian process dynamical models. In NIPS, pages 1441-1448, 2006. 2730
    • (2006) NIPS , pp. 1441-1448
    • Wang, J.M.1    Fleet, D.J.2    Hertzmann, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.