메뉴 건너뛰기




Volumn 19, Issue 3, 2016, Pages 719-730

Discriminative sequential association latent dirichlet allocation for visual recognition

Author keywords

Labeling relevance determination; Latent dirichlet allocation; Object recognition; Sequential association

Indexed keywords


EID: 84977150970     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-014-0444-0     Document Type: Article
Times cited : (2)

References (39)
  • 4
    • 42449162318 scopus 로고    scopus 로고
    • Scene classification using a hybrid generative/discriminative approach
    • Bosch A, Zisserman A, Muonz X (2008) Scene classification using a hybrid generative/discriminative approach. IEEE Trans Pattern Anal Mach Intell 30(4):712–727
    • (2008) IEEE Trans Pattern Anal Mach Intell , vol.30 , Issue.4 , pp. 712-727
    • Bosch, A.1    Zisserman, A.2    Muonz, X.3
  • 5
    • 84866714109 scopus 로고    scopus 로고
    • Learning shared body plans. In: IEEE conference on computer vision and pattern recognition
    • Endres I, Srikumar V, Chang MW, Hoiem D (2012) Learning shared body plans. In: IEEE conference on computer vision and pattern recognition, pp 3130–3137
    • (2012) pp 3130–3137
    • Endres, I.1    Srikumar, V.2    Chang, M.W.3    Hoiem, D.4
  • 6
    • 84901653960 scopus 로고    scopus 로고
    • Mining midlevel features for image classification
    • Fernando B, Fromont E, Tuytelaars T (2014) Mining midlevel features for image classification. Int J Comput Vis 108(3):186–203
    • (2014) Int J Comput Vis , vol.108 , Issue.3 , pp. 186-203
    • Fernando, B.1    Fromont, E.2    Tuytelaars, T.3
  • 7
    • 33745155436 scopus 로고    scopus 로고
    • A Bayesian hierarchical model for learning natural scene categories
    • Fei-Fei L, Perona P (2005) A Bayesian hierarchical model for learning natural scene categories. IEEE Conf Comput Vis Pattern Recognit 2:524–531
    • (2005) IEEE Conf Comput Vis Pattern Recognit , vol.2 , pp. 524-531
    • Fei-Fei, L.1    Perona, P.2
  • 8
    • 34047174674 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories
    • Fei-Fei L, Fergus R, Perona P (2007) Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. Comput Vis Image Underst 106(1):59–70
    • (2007) Comput Vis Image Underst , vol.106 , Issue.1 , pp. 59-70
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 10
    • 79952660404 scopus 로고    scopus 로고
    • A sticky HDP-HMM with application to speaker diarization
    • Fox EB, Sudderth EB, Jordan MI, Willsky AS (2011) A sticky HDP-HMM with application to speaker diarization. Ann Appl Stat 5(2A):1020–1056
    • (2011) Ann Appl Stat , vol.5 , Issue.2A , pp. 1020-1056
    • Fox, E.B.1    Sudderth, E.B.2    Jordan, M.I.3    Willsky, A.S.4
  • 12
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing. In: Proceedings of the 22nd annual international SIGIR conference on research and development in information retrieval
    • Hofmann T (1999) Probabilistic latent semantic indexing. In: Proceedings of the 22nd annual international SIGIR conference on research and development in information retrieval, pp 50–57
    • (1999) pp 50–57
    • Hofmann, T.1
  • 14
    • 50649113682 scopus 로고    scopus 로고
    • Learning multiscale representations of natural scenes using dirichlet processes. In: IEEE international conference on computer vision
    • Kivinen JJ, Sudderth EB, Jordan MI (2007) Learning multiscale representations of natural scenes using dirichlet processes. In: IEEE international conference on computer vision, pp 1–8
    • (2007) pp 1–8
    • Kivinen, J.J.1    Sudderth, E.B.2    Jordan, M.I.3
  • 15
    • 84874546525 scopus 로고    scopus 로고
    • Wang-Landau Monte Carlo-based tracking methods for abrupt motions
    • Kwon J, Lee KM (2013) Wang-Landau Monte Carlo-based tracking methods for abrupt motions. IEEE Trans Pattern Anal Mach Intell 35(4):1011–1024
    • (2013) IEEE Trans Pattern Anal Mach Intell , vol.35 , Issue.4 , pp. 1011-1024
    • Kwon, J.1    Lee, K.M.2
  • 16
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems
    • Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp 1097–1105
    • (2012) pp 1097–1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 17
    • 77951295279 scopus 로고    scopus 로고
    • Category level object segmentation by combining bag-of-words models with Dirichlet processes and random fields
    • Larlus D, Verbeek J, Jurie F (2010) Category level object segmentation by combining bag-of-words models with Dirichlet processes and random fields. Int J Comput Vis 88(2):238–253
    • (2010) Int J Comput Vis , vol.88 , Issue.2 , pp. 238-253
    • Larlus, D.1    Verbeek, J.2    Jurie, F.3
  • 18
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: spatial pyramid matching for recognizing natural scene categories
    • Lazebnik S, Schmid C, Ponce J (2006) Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. IEEE Conf Comput Vis Pattern Recognit New York, USA 2:2169–2178
    • (2006) IEEE Conf Comput Vis Pattern Recognit New York, USA , vol.2 , pp. 2169-2178
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 19
    • 70450219021 scopus 로고    scopus 로고
    • Towards total scene understanding: classification, annotation and segmentation in an automatic framework. In: IEEE conference on computer vision and pattern recognition
    • Li LJ, Socher R, Fei-Fei L (2009) Towards total scene understanding: classification, annotation and segmentation in an automatic framework. In: IEEE conference on computer vision and pattern recognition, pp 2036–2043
    • (2009) pp 2036–2043
    • Li, L.J.1    Socher, R.2    Fei-Fei, L.3
  • 21
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • Lowe DG (1999) Object recognition from local scale-invariant features. Proc Seventh IEEE Int Conf Comput Vis 2:1150–1157
    • (1999) Proc Seventh IEEE Int Conf Comput Vis , vol.2 , pp. 1150-1157
    • Lowe, D.G.1
  • 22
    • 84976702763 scopus 로고
    • Wordnet: a lexical database for English
    • Miller GA (1995) Wordnet: a lexical database for English. Commun ACM 38(11):39–41
    • (1995) Commun ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.A.1
  • 23
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for dirichlet process mixture models
    • Neal RM (2000) Markov chain sampling methods for dirichlet process mixture models. J Comput Graph Stat 9(2):249–265
    • (2000) J Comput Graph Stat , vol.9 , Issue.2 , pp. 249-265
    • Neal, R.M.1
  • 24
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: a holistic representation of the spatial envelope
    • Oliva A, Torralba A (2001) Modeling the shape of the scene: a holistic representation of the spatial envelope. Int J Comput Vis 42(3):145–175
    • (2001) Int J Comput Vis , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 25
    • 84866696970 scopus 로고    scopus 로고
    • Sharing features in multi-class boosting via group sparsity. In: IEEE conference on computer vision and pattern recognition
    • Paisitkriangkrai S, Shen C, van den Hengel A (2012) Sharing features in multi-class boosting via group sparsity. In: IEEE conference on computer vision and pattern recognition, pp 2128–2135
    • (2012) pp 2128–2135
    • Paisitkriangkrai, S.1    Shen, C.2    van den Hengel, A.3
  • 26
    • 77955999239 scopus 로고    scopus 로고
    • Topic regression multi-modal latent dirichlet allocation for image annotation. In: IEEE conference on computer vision and pattern recognition
    • Putthividhya D, Attias HT, Nagarajan SS (2010) Topic regression multi-modal latent dirichlet allocation for image annotation. In: IEEE conference on computer vision and pattern recognition, pp 3408–3415
    • (2010) pp 3408–3415
    • Putthividhya, D.1    Attias, H.T.2    Nagarajan, S.S.3
  • 27
    • 39749186006 scopus 로고    scopus 로고
    • LabelMe: a database and web-based tool for image annotation
    • Russell BC, Torralba A, Murphy KP, Freeman WT (2008) LabelMe: a database and web-based tool for image annotation. Int J Comput Vis 77(1–3):157–173
    • (2008) Int J Comput Vis , vol.77 , Issue.1-3 , pp. 157-173
    • Russell, B.C.1    Torralba, A.2    Murphy, K.P.3    Freeman, W.T.4
  • 29
  • 30
    • 84887492752 scopus 로고    scopus 로고
    • Tang S, Wang H, Shao J, Wu F, Chen M, Zhuang Y (2013) π LDA: document clustering with selective structural constraints. In: Proceedings of the 21st ACM international conference on multimedia, pp 753–756
    • Tang S, Wang H, Shao J, Wu F, Chen M, Zhuang Y (2013) π LDA: document clustering with selective structural constraints. In: Proceedings of the 21st ACM international conference on multimedia, pp 753–756
  • 32
    • 84899024607 scopus 로고    scopus 로고
    • Contextual models for object detection using boosted random fields
    • Torralba A, Murphy KP, Freeman WT (2005) Contextual models for object detection using boosted random fields. In: Neural Information Processing Systems 17 (NIPS), pp 1401–1408
    • (2005) Neural Information Processing Systems , vol.17 , Issue.NIPS , pp. 1401-1408
    • Torralba, A.1    Murphy, K.P.2    Freeman, W.T.3
  • 33
    • 33749249312 scopus 로고    scopus 로고
    • Hierarchical dirichlet processes
    • Teh YW, Jordan MI Beal MJ (2006) Hierarchical dirichlet processes. J Am Stat Assoc 101(476):1566–1581
    • (2006) J Am Stat Assoc , vol.101 , Issue.476 , pp. 1566-1581
    • Teh, Y.W.1    Jordan, M.I.2    Beal, M.J.3
  • 34
    • 0036566199 scopus 로고    scopus 로고
    • Image segmentation by data-driven markov chain Monte Carlo
    • Tu Z, Zhu SC (2002) Image segmentation by data-driven markov chain Monte Carlo. IEEE Trans Pattern Anal Mach Intell 24(5):657–673
    • (2002) IEEE Trans Pattern Anal Mach Intell , vol.24 , Issue.5 , pp. 657-673
    • Tu, Z.1    Zhu, S.C.2
  • 35
    • 0036307392 scopus 로고    scopus 로고
    • Visual features of intermediate complexity and their use in classification
    • Ullman S, Vidal-Naquet M, Sali E (2002) Visual features of intermediate complexity and their use in classification. Nat Neurosci 5(7):682–687
    • (2002) Nat Neurosci , vol.5 , Issue.7 , pp. 682-687
    • Ullman, S.1    Vidal-Naquet, M.2    Sali, E.3
  • 36
    • 63849117955 scopus 로고    scopus 로고
    • Unsupervised activity perception in crowded and complicated scenes using hierarchical Bayesian models
    • Wang X, Ma X, Grimson WEL (2009) Unsupervised activity perception in crowded and complicated scenes using hierarchical Bayesian models. IEEE Trans Pattern Anal Mach Intell 31(3):539–555
    • (2009) IEEE Trans Pattern Anal Mach Intell , vol.31 , Issue.3 , pp. 539-555
    • Wang, X.1    Ma, X.2    Grimson, W.E.L.3
  • 37
    • 78149305536 scopus 로고    scopus 로고
    • Attribute-based transfer learning for object categorization with zero/one training example. In: Proceedings of European conference on computer vision, Springer
    • Yu X, Aloimonos Y (2010) Attribute-based transfer learning for object categorization with zero/one training example. In: Proceedings of European conference on computer vision, Springer, pp 127–140
    • (2010) pp 127–140
    • Yu, X.1    Aloimonos, Y.2
  • 39
    • 77955995797 scopus 로고    scopus 로고
    • Part and appearance sharing: recursive compositional models for multi-view. In: IEEE conference on computer vision and pattern recognition
    • Zhu L, Chen Y, Torralba A, Freeman W, Yuille A (2010) Part and appearance sharing: recursive compositional models for multi-view. In: IEEE conference on computer vision and pattern recognition, pp 1919–1926
    • (2010) pp 1919–1926
    • Zhu, L.1    Chen, Y.2    Torralba, A.3    Freeman, W.4    Yuille, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.