메뉴 건너뛰기




Volumn , Issue , 2013, Pages 329-336

A bayesian approach to multimodal visual dictionary learning

Author keywords

co clustering; multimodal; visual dictionary

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN INFERENCE; CO-CLUSTERING; IMAGE CATEGORIZATION; IMAGE DESCRIPTORS; MULTI-MODAL; UNDERLYING DISTRIBUTION; VISUAL DICTIONARIES;

EID: 84887353078     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.49     Document Type: Conference Paper
Times cited : (17)

References (32)
  • 1
    • 33750383209 scopus 로고    scopus 로고
    • K-svd: An algorithm for designing overcomplete dictionries for sparse representation
    • 2, 7
    • M. Aharon, M. Elad, and A. Bruckstein. K-svd: An algorithm for designing overcomplete dictionries for sparse representation. IEEE Trans. on Signal Processing, 54:4311-4322, 2006. 2, 7
    • (2006) IEEE Trans. on Signal Processing , vol.54 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 2
    • 1542287501 scopus 로고    scopus 로고
    • Modeling annotated data
    • 3, 6
    • D. Blei and M. Jordan. Modeling annotated data. In SIGIR, 2003. 3, 6
    • (2003) SIGIR
    • Blei, D.1    Jordan, M.2
  • 3
    • 0035789644 scopus 로고    scopus 로고
    • Coclustering documents and words using bipartite spectral graph partitioning
    • 2, 5, 7
    • I. Dhillon. Coclustering documents and words using bipartite spectral graph partitioning. In KDD, 2001. 2, 5, 7
    • (2001) KDD
    • Dhillon, I.1
  • 4
    • 77952375075 scopus 로고    scopus 로고
    • Information-theoretic co-clustering
    • 2, 5, 7
    • I. Dhillon, S. Mallela, and D. Modha. Information-theoretic co-clustering. In KDD, 2003. 2, 5, 7
    • (2003) KDD
    • Dhillon, I.1    Mallela, S.2    Modha, D.3
  • 5
    • 33749575326 scopus 로고    scopus 로고
    • Orthogonal nonnegative matrix trifactorizations for clustering
    • 2, 5, 7
    • C. Ding, T. Li, W. Peng, and H. Park. Orthogonal nonnegative matrix trifactorizations for clustering. In KDD, 2006. 2, 5, 7
    • (2006) KDD
    • Ding, C.1    Li, T.2    Peng, W.3    Park, H.4
  • 6
    • 33745155436 scopus 로고    scopus 로고
    • A bayesian hierarchical model for learning natural scene categories
    • 6
    • L. Fei-Fei and P. Perona. A bayesian hierarchical model for learning natural scene categories. In CVPR, 2005. 6
    • (2005) CVPR
    • Fei-Fei, L.1    Perona, P.2
  • 7
    • 77956006653 scopus 로고    scopus 로고
    • Multimodal semi-supervised learning for image classification
    • 1, 2, 7
    • M. Guillaumin, J. Verbeek, and C. Schmid. Multimodal semi-supervised learning for image classification. In CVPR, 2010. 1, 2, 7
    • (2010) CVPR
    • Guillaumin, M.1    Verbeek, J.2    Schmid, C.3
  • 8
    • 84856653718 scopus 로고    scopus 로고
    • Learning cross-modality similarity for multinomial data
    • 3
    • Y. Jia, M. Saizmann, and T. Darrell. Learning cross-modality similarity for multinomial data. In ICCV, 2011. 3
    • (2011) ICCV
    • Jia, Y.1    Saizmann, M.2    Darrell, T.3
  • 9
    • 80052901219 scopus 로고    scopus 로고
    • Learning a discriminative dictionary for sparse coding via label consistent k-svd
    • 1, 2
    • Z. Jiang, Z. Lin, and L. Davis. Learning a discriminative dictionary for sparse coding via label consistent k-svd. In CVPR, 2011. 1, 2
    • (2011) CVPR
    • Jiang, Z.1    Lin, Z.2    Davis, L.3
  • 10
    • 84866666336 scopus 로고    scopus 로고
    • Submodular dictionary learning for sparse coding
    • 1, 2
    • Z. Jiang, G. Zhang, and L. Davis. Submodular dictionary learning for sparse coding. In CVPR, 2012. 1, 2
    • (2012) CVPR
    • Jiang, Z.1    Zhang, G.2    Davis, L.3
  • 11
    • 84867130504 scopus 로고    scopus 로고
    • The nonparametric metadata dependent relational model
    • 2
    • D. Kim, M. Hughes, and E. Sudderth. The nonparametric metadata dependent relational model. In ICML, 2012. 2
    • (2012) ICML
    • Kim, D.1    Hughes, M.2    Sudderth, E.3
  • 12
    • 67349266616 scopus 로고    scopus 로고
    • Supervised learning of quantizer codebooks by information loss minimization
    • 1, 2, 7
    • S. Lazebnik and M. Raginsky. Supervised learning of quantizer codebooks by information loss minimization. TPAMI, 31:1294-1309, 2009. 1, 2, 7
    • (2009) TPAMI , vol.31 , pp. 1294-1309
    • Lazebnik, S.1    Raginsky, M.2
  • 13
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • 7
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006. 7
    • (2006) CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 14
    • 80053450173 scopus 로고    scopus 로고
    • On the integration of topic modeling and dictionary learning
    • 3, 5, 6
    • L. Li, M. Zhou, G. Sapiro, and L. Carin. On the integration of topic modeling and dictionary learning. In ICML, 2011. 3, 5, 6
    • (2011) ICML
    • Li, L.1    Zhou, M.2    Sapiro, G.3    Carin, L.4
  • 15
    • 70450219021 scopus 로고    scopus 로고
    • Towards total scene understanding: Classification, annotation and segmentation in an automatic framework
    • 3
    • L.-J. Li, R. Socher, and L. Fei-Fei. Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. In CVPR, 2009. 3
    • (2009) CVPR
    • Li, L.-J.1    Socher, R.2    Fei-Fei, L.3
  • 16
    • 77956002336 scopus 로고    scopus 로고
    • Probabilistic models for supervised dictionary learning
    • 2
    • X.-C. Lian, Z. Li, C. Wang, B.-L. Lu, and L. Zhang. Probabilistic models for supervised dictionary learning. In CVPR, 2010. 2
    • (2010) CVPR
    • Lian, X.-C.1    Li, Z.2    Wang, C.3    Lu, B.-L.4    Zhang, L.5
  • 17
    • 84857419890 scopus 로고    scopus 로고
    • Task-driven dictionary learning
    • 1, 2
    • J. Mairal, F. Bach, and J. Ponce. Task-driven dictionary learning. In TPAMI, 2012. 1, 2
    • (2012) TPAMI
    • Mairal, J.1    Bach, F.2    Ponce, J.3
  • 18
    • 85069300650 scopus 로고    scopus 로고
    • Modeling dyadic data with binary latent factors
    • 2
    • E. Meeds, Z. Ghahramani, R. Neal, and S. Roweis. Modeling dyadic data with binary latent factors. In NIPS, 2006. 2
    • (2006) NIPS
    • Meeds, E.1    Ghahramani, Z.2    Neal, R.3    Roweis, S.4
  • 19
    • 77955999239 scopus 로고    scopus 로고
    • Topic regressionmulti-modal latent dirichlet allocation for image annotation
    • 3
    • D. Putthividhy, H. Attias, and S. Nagarajan. Topic regressionmulti-modal latent dirichlet allocation for image annotation. In CVPR, 2010. 3
    • (2010) CVPR
    • Putthividhy, D.1    Attias, H.2    Nagarajan, S.3
  • 20
    • 35148862171 scopus 로고    scopus 로고
    • Learning visual representations using images with captions
    • 2
    • A. Quattoni, M. Collins, and T. Darrell. Learning visual representations using images with captions. In CVPR, 2007. 2
    • (2007) CVPR
    • Quattoni, A.1    Collins, M.2    Darrell, T.3
  • 22
    • 67049165560 scopus 로고    scopus 로고
    • Bayesian co-clustering
    • 2, 5, 7
    • H. Shan and A. Banerjee. Bayesian co-clustering. In ICDM, 2008. 2, 5, 7
    • (2008) ICDM
    • Shan, H.1    Banerjee, A.2
  • 24
    • 70450178502 scopus 로고    scopus 로고
    • Simultaneous image classification and annotation
    • 3, 5, 6
    • C. Wang, D. Blei, and L. Fei-Fei. Simultaneous image classification and annotation. In CVPR, 2009. 3, 5, 6
    • (2009) CVPR
    • Wang, C.1    Blei, D.2    Fei-Fei, L.3
  • 25
    • 77955996870 scopus 로고    scopus 로고
    • Locality-constrained linear coding for image classification
    • 1, 2, 4, 7
    • J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010. 1, 2, 4, 7
    • (2010) CVPR
    • Wang, J.1    Yang, J.2    Yu, K.3    Lv, F.4    Huang, T.5    Gong, Y.6
  • 26
    • 84880124268 scopus 로고    scopus 로고
    • Nonparametric bayesian co-clustering ensembles
    • 2
    • P. Wang, K. Laskey, C. Domeniconi, and M. Jordan. Nonparametric bayesian co-clustering ensembles. In SDM, 2011. 2
    • (2011) SDM
    • Wang, P.1    Laskey, K.2    Domeniconi, C.3    Jordan, M.4
  • 27
    • 70450209196 scopus 로고    scopus 로고
    • Linear spatial pyramid matching using sparse coding for image classification
    • 4, 7
    • J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009. 4, 7
    • (2009) CVPR
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.4
  • 28
    • 84863011935 scopus 로고    scopus 로고
    • Fisher discrimination dictionary learning for sparse representation
    • 2
    • M. Yang, L. Zhang, X. Feng, and D. Zhang. Fisher discrimination dictionary learning for sparse representation. In ICCV, 2011. 2
    • (2011) ICCV
    • Yang, M.1    Zhang, L.2    Feng, X.3    Zhang, D.4
  • 29
    • 77956221086 scopus 로고    scopus 로고
    • Heterogeneous transfer learning for image clustering via the socialweb
    • 3
    • Q. Yang, Y. Chen, G.-R. Xue, W. Dai, and Y. Yu. Heterogeneous transfer learning for image clustering via the socialweb. In ACL, 2009. 3
    • (2009) ACL
    • Yang, Q.1    Chen, Y.2    Xue, G.-R.3    Dai, W.4    Yu, Y.5
  • 30
    • 84887388396 scopus 로고    scopus 로고
    • Discriminative k-svd for dictionary learning
    • 1, 2, 7
    • Q. Zhang and B. Li. Discriminative k-svd for dictionary learning in face recognition. In CVPR, 2010. 1, 2, 7
    • (2010) Face Recognition CVPR
    • Zhang, Q.1    Li, B.2
  • 31
    • 84866710709 scopus 로고    scopus 로고
    • Learning inter-related visual dictionary for object recognition
    • 2
    • N. Zhou, Y. Shen, J. Peng, and J. Fan. Learning inter-related visual dictionary for object recognition. In CVPR, 2012. 2
    • (2012) CVPR
    • Zhou, N.1    Shen, Y.2    Peng, J.3    Fan, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.