메뉴 건너뛰기




Volumn , Issue , 2013, Pages 129-136

Unsupervised random forest manifold alignment for lipreading

Author keywords

Lipreading; Manifold Alignment; RFMA; Unsupervised Random Forest

Indexed keywords

VIDEO CAMERAS;

EID: 84898802245     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.23     Document Type: Conference Paper
Times cited : (91)

References (26)
  • 1
    • 33646697511 scopus 로고    scopus 로고
    • Representation analysis and synthesis of lip images using dimensionality reduction
    • M. Aharon and R. Kimmel. Representation analysis and synthesis of lip images using dimensionality reduction. IJCV, 67(3):297-312, 2006.
    • (2006) IJCV , vol.67 , Issue.3 , pp. 297-312
    • Aharon, M.1    Kimmel, R.2
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 3
    • 70449440398 scopus 로고    scopus 로고
    • Fast approximate k nn graph construction for high dimensional data via recursive lanczos bisection
    • J. Chen, H.-r. Fang, and Y. Saad. Fast approximate k nn graph construction for high dimensional data via recursive lanczos bisection. The Journal of Machine Learning Research, 10:1989-2012, 2009.
    • (2009) The Journal of Machine Learning Research , vol.10 , pp. 1989-2012
    • Chen, J.1    Fang, H.-R.2    Saad, Y.3
  • 6
    • 84859414659 scopus 로고    scopus 로고
    • Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
    • A. Criminisi. Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Foundations and Trends R-in Computer Graphics and Vision, 7(2-3):81-227, 2011.
    • (2011) Foundations and Trends R-in Computer Graphics and Vision , vol.7 , Issue.2-3 , pp. 81-227
    • Criminisi, A.1
  • 7
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, volume 1, pages 886-893, 2005.
    • (2005) CVPR , vol.1 , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 9
    • 80053120334 scopus 로고    scopus 로고
    • Hough forests for object detection, tracking, and action recognition
    • J. Gall, A. Yao, N. Razavi, L. Van Gool, and V. Lempitsky. Hough forests for object detection, tracking, and action recognition. IEEE Trans. on PAMI, 33(11):2188-2202, 2011.
    • (2011) IEEE Trans. on PAMI , vol.33 , Issue.11 , pp. 2188-2202
    • Gall, J.1    Yao, A.2    Razavi, N.3    Gool, L.V.4    Lempitsky, V.5
  • 12
    • 33947141860 scopus 로고    scopus 로고
    • Data fusion and multicue data matching by diffusion maps
    • S. Lafon, Y. Keller, and R. Coifman. Data Fusion and Multicue Data Matching by Diffusion Maps. IEEE Trans. on PAMI, 28(11):1784-1797, 2006.
    • (2006) IEEE Trans. on PAMI , vol.28 , Issue.11 , pp. 1784-1797
    • Lafon, S.1    Keller, Y.2    Coifman, R.3
  • 14
    • 84864059224 scopus 로고    scopus 로고
    • Fast discriminative visual codebooks using randomized clustering forests
    • F. Moosmann, B. Triggs, F. Jurie, et al. Fast discriminative visual codebooks using randomized clustering forests. In NIPS'06, pages 985-992, 2006.
    • (2006) NIPS'06 , pp. 985-992
    • Moosmann, F.1    Triggs, B.2    Jurie, F.3
  • 16
    • 0029669420 scopus 로고    scopus 로고
    • A comparative study of texture measures with classification based on featured distributions
    • T. Ojala, M. Pietik̈ainen, and D. Harwood. A comparative study of texture measures with classification based on featured distributions. Pattern recognition, 29(1):51-59, 1996.
    • (1996) Pattern Recognition , vol.29 , Issue.1 , pp. 51-59
    • Ojala, T.1    Pietik̈ainen, M.2    Harwood, D.3
  • 17
    • 84862668689 scopus 로고    scopus 로고
    • Unsupervised image matching based on manifold alignment
    • Y. Pei, F. Huang, F. Shi, and H. Zha. Unsupervised image matching based on manifold alignment. IEEE Trans. on PAMI, 34(8):1658-1664, 2012.
    • (2012) IEEE Trans. on PAMI , vol.34 , Issue.8 , pp. 1658-1664
    • Pei, Y.1    Huang, F.2    Shi, F.3    Zha, H.4
  • 18
    • 4544290191 scopus 로고    scopus 로고
    • Recent advances in the automatic recognition of audiovisual speech
    • G. Potamianos, C. Neti, G. Gravier, A. Garg, and A. Senior. Recent advances in the automatic recognition of audiovisual speech. Proc. the IEEE, 91(9):1306-1326, 2003.
    • (2003) Proc the IEEE , vol.91 , Issue.9 , pp. 1306-1326
    • Potamianos, G.1    Neti, C.2    Gravier, G.3    Garg, A.4    Senior, A.5
  • 19
    • 33745926831 scopus 로고    scopus 로고
    • Visual speech recognition with loosely synchronized feature streams
    • K. Saenko, K. Livescu, M. Siracusa, K.Wilson, J. Glass, and T. Darrell. Visual speech recognition with loosely synchronized feature streams. In ICCV, pages 1424-1431, 2005.
    • (2005) ICCV , pp. 1424-1431
    • Saenko, K.1    Livescu, K.2    Siracusa, M.3    Wilson, K.4    Glass, J.5    Darrell, T.6
  • 21
    • 33846132616 scopus 로고    scopus 로고
    • Global a-optimal robot exploration in slam
    • R. Sim and N. Roy. Global a-optimal robot exploration in slam. In IEEE Conf. on ICRA, pages 661-666, 2005.
    • (2005) IEEE Conf. on ICRA , pp. 661-666
    • Sim, R.1    Roy, N.2
  • 23
    • 80052892990 scopus 로고    scopus 로고
    • Unsupervised random forest indexing for fast action search
    • G. Yu, J. Yuan, and Z. Liu. Unsupervised random forest indexing for fast action search. In IEEE Conf. on CVPR, pages 865-872, 2011.
    • (2011) IEEE Conf. on CVPR , pp. 865-872
    • Yu, G.1    Yuan, J.2    Liu, Z.3
  • 25
    • 78149480353 scopus 로고    scopus 로고
    • Lipreading: A graph embedding approach
    • Z. Zhou, G. Zhao, and M. Pietikainen. Lipreading: a graph embedding approach. In ICPR, pages 523-526, 2010.
    • (2010) ICPR , pp. 523-526
    • Zhou, Z.1    Zhao, G.2    Pietikainen, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.