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Volumn 2, Issue , 2012, Pages 1511-1518

Modeling images using transformed indian buffet processes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; CROSS CORRELATIONS; FEATURE MODELS; IMAGE MODELING; INFERENCE TECHNIQUES; MULTIPLE OBJECTS; NATURAL IMAGES; PRE-SEGMENTATION; REAL IMAGES;

EID: 84867126009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (15)
  • 1
    • 85162052774 scopus 로고    scopus 로고
    • Learning invariant features using the transformed Indian buffet process
    • Austerweil, J.L. and Griffiths, T.L. Learning invariant features using the transformed Indian buffet process. In NIPS, 2010.
    • (2010) NIPS
    • Austerweil, J.L.1    Griffiths, T.L.2
  • 4
    • 84864043341 scopus 로고    scopus 로고
    • Infinite latent feature models and the Indian buffet process
    • Griffiths, T.L. and Ghahramani, Z. Infinite latent feature models and the Indian buffet process. In NIPS, 2005.
    • (2005) NIPS
    • Griffiths, T.L.1    Ghahramani, Z.2
  • 5
    • 0035686705 scopus 로고    scopus 로고
    • Learning flexible sprites in video layers
    • Jojic, N. and Frey, B.J. Learning flexible sprites in video layers. In CVPR, 2001.
    • (2001) CVPR
    • Jojic, N.1    Frey, B.J.2
  • 6
    • 84255174752 scopus 로고    scopus 로고
    • Infinite sparse factor analysis and infinite independent component analysis
    • Knowles, D. and Ghahramani, Z. Infinite sparse factor analysis and infinite independent component analysis. In ICA, 2007.
    • (2007) ICA
    • Knowles, D.1    Ghahramani, Z.2
  • 7
    • 33745155436 scopus 로고    scopus 로고
    • A Bayesian hierarchical model for learning natural scene categories
    • Li Fei-Fei and Perona, Pietro. A Bayesian hierarchical model for learning natural scene categories. In CVPR, 2005.
    • (2005) CVPR
    • Li, F.-F.1    Perona, P.2
  • 8
    • 80053149752 scopus 로고    scopus 로고
    • Describing visual scenes using the transformed Dirichlet process
    • Sudderth, E.B., Torralba, A., Freeman, W.T., and Willsky, A.S. Describing visual scenes using the transformed Dirichlet process. In NIPS, 2005.
    • (2005) NIPS
    • Sudderth, E.B.1    Torralba, A.2    Freeman, W.T.3    Willsky, A.S.4
  • 9
    • 85046750222 scopus 로고    scopus 로고
    • The infinite gamma-Poisson feature model
    • Titsias, M. The infinite gamma-Poisson feature model. In NIPS, 2007.
    • (2007) NIPS
    • Titsias, M.1
  • 11
    • 0036566199 scopus 로고    scopus 로고
    • Image segmentation by data-driven Markov chain Monte Carlo
    • Tu, Z. and Zhu, S.-C. Image segmentation by data-driven Markov chain Monte Carlo. TPAMI, 24:657-673, 2002.
    • (2002) TPAMI , vol.24 , pp. 657-673
    • Tu, Z.1    Zhu, S.-C.2
  • 12
    • 17444392134 scopus 로고    scopus 로고
    • Image parsing: Unifying segmentation, detection, and recognition
    • Tu, Z., Chen, X., Yuille, A.L., and Zhu, S.C. Image parsing: Unifying segmentation, detection, and recognition. In ICCV, 2005.
    • (2005) ICCV
    • Tu, Z.1    Chen, X.2    Yuille, A.L.3    Zhu, S.C.4
  • 14
    • 80053160972 scopus 로고    scopus 로고
    • A non-parametric Bayesian method for inferring hidden causes
    • Wood, F., Griffiths, T.L., and Ghahramani, Z. A non-parametric Bayesian method for inferring hidden causes. In UAI, 2006.
    • (2006) UAI
    • Wood, F.1    Griffiths, T.L.2    Ghahramani, Z.3
  • 15
    • 80053449170 scopus 로고    scopus 로고
    • Dependent hierarchical beta processes for image interpolation and denoising
    • Zhou, M., Yang, H., Sapiro, G., Dunson, D., and Carin, L. Dependent hierarchical beta processes for image interpolation and denoising. In AISTATS, 2011.
    • (2011) AISTATS
    • Zhou, M.1    Yang, H.2    Sapiro, G.3    Dunson, D.4    Carin, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.