메뉴 건너뛰기




Volumn , Issue , 2013, Pages 3008-3015

A scalable unsupervised feature merging approach to efficient dimensionality reduction of high-dimensional visual data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION;

EID: 84898785720     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.374     Document Type: Conference Paper
Times cited : (9)

References (23)
  • 1
    • 0035789317 scopus 로고    scopus 로고
    • Random projection in dimensionality reduction: Applications to image and text data
    • E. Bingham and H. Mannila. Random projection in dimensionality reduction: applications to image and text data. In KDD, 2001.
    • (2001) KDD
    • Bingham, E.1    Mannila, H.2
  • 2
    • 84898420173 scopus 로고    scopus 로고
    • The devil is in the details: An evaluation of recent feature encoding methods
    • K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman. The devil is in the details: an evaluation of recent feature encoding methods. In BMVC, 2011.
    • (2011) BMVC
    • Chatfield, K.1    Lempitsky, V.2    Vedaldi, A.3    Zisserman, A.4
  • 3
    • 84859463794 scopus 로고    scopus 로고
    • Algorithms for learning kernels based on centered alignment
    • C. Cortes, M. Mohri, and A. Rostamizadeh. Algorithms for learning kernels based on centered alignment. JMLR, 2012.
    • (2012) JMLR
    • Cortes, C.1    Mohri, M.2    Rostamizadeh, A.3
  • 4
    • 14344257496 scopus 로고    scopus 로고
    • K-means clustering via principal component analysis
    • C. H. Q. Ding and X. He. K-means clustering via principal component analysis. In ICML, 2004.
    • (2004) ICML
    • Ding, C.H.Q.1    He, X.2
  • 5
    • 70349211724 scopus 로고    scopus 로고
    • Fast and efficient dimensionality reduction using structurally random matrices
    • T. T. Do, L. Gan, Y. Chen, N. Nguyen, and T. D. Tran. Fast and efficient dimensionality reduction using structurally random matrices. In ICASSP, pages 1821-1824, 2009.
    • (2009) ICASSP , pp. 1821-1824
    • Do, T.T.1    Gan, L.2    Chen, Y.3    Nguyen, N.4    Tran, T.D.5
  • 6
    • 56749185468 scopus 로고    scopus 로고
    • Localizing objects with smart dictionaries
    • B. Fulkerson, A. Vedaldi, and S. Soatto. Localizing objects with smart dictionaries. In ECCV, pages 179-192, 2008.
    • (2008) ECCV , pp. 179-192
    • Fulkerson, B.1    Vedaldi, A.2    Soatto, S.3
  • 7
    • 84867857353 scopus 로고    scopus 로고
    • Visual recognition using local quantized patterns
    • S. Hussain and B. Triggs. Visual recognition using local quantized patterns. In ECCV (2), pages 716-729, 2012.
    • (2012) ECCV , vol.2 , pp. 716-729
    • Hussain, S.1    Triggs, B.2
  • 8
    • 70449560133 scopus 로고    scopus 로고
    • Hamming embedding and weak geometric consistency for large scale image search
    • H. Jegou, M. Douze, and C. Schmid. Hamming embedding and weak geometric consistency for large scale image search. In ECCV, 2008.
    • (2008) ECCV
    • Jegou, H.1    Douze, M.2    Schmid, C.3
  • 9
    • 77956004473 scopus 로고    scopus 로고
    • Aggregating local descriptors into a compact image representation
    • H. Jegou, M. Douze, C. Schmid, and P. Ṕerez. Aggregating local descriptors into a compact image representation. In CVPR, 2010.
    • (2010) CVPR
    • Jegou, H.1    Douze, M.2    Schmid, C.3    Ṕerez, P.4
  • 10
    • 51949085157 scopus 로고    scopus 로고
    • Learning human actions via information maximization
    • J. Liu and M. Shah. Learning human actions via information maximization. CVPR, 2008.
    • (2008) CVPR
    • Liu, J.1    Shah, M.2
  • 11
    • 70450170628 scopus 로고    scopus 로고
    • Learning semantic visual vocabularies using diffusion distance
    • J. Liu, Y. Yang, and M. Shah. Learning semantic visual vocabularies using diffusion distance. In CVPR, pages 461-468, 2009.
    • (2009) CVPR , pp. 461-468
    • Liu, J.1    Yang, Y.2    Shah, M.3
  • 12
    • 84863044549 scopus 로고    scopus 로고
    • Defence of soft-assignment coding
    • L. Liu, L. Wang, and X. Liu. In defence of soft-assignment coding. In CVPR, 2012.
    • (2012) CVPR
    • Liu, L.1    Wang, L.2    Liu, X.3
  • 13
    • 80052875474 scopus 로고    scopus 로고
    • A generalized probabilistic framework for compact codebook creation
    • L. Liu, L.Wang, and C. Shen. A generalized probabilistic framework for compact codebook creation. In CVPR, 2011.
    • (2011) CVPR
    • Liu, L.1    Wang, L.2    Shen, C.3
  • 14
    • 0029669420 scopus 로고    scopus 로고
    • A comparative study of texture measures with classification based on featured distributions
    • Jan.
    • 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, Jan. 1996.
    • (1996) Pattern Recognition , vol.29 , Issue.1 , pp. 51-59
    • Ojala, T.1    Pietik̈ainen, M.2    Harwood, D.3
  • 15
    • 79959771606 scopus 로고    scopus 로고
    • Improving the fisher kernel for large-scale image classification
    • F. Perronnin, J. Śanchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. In ECCV, 2010.
    • (2010) ECCV
    • Perronnin, F.1    Śanchez, J.2    Mensink, T.3
  • 16
    • 77956008921 scopus 로고    scopus 로고
    • Rapid face recognition using hashing
    • Q. Shi, H. Li, and C. Shen. Rapid face recognition using hashing. In CVPR, pages 2753-2760, 2010.
    • (2010) CVPR , pp. 2753-2760
    • Shi, Q.1    Li, H.2    Shen, C.3
  • 17
    • 77955996870 scopus 로고    scopus 로고
    • Localityconstrained linear coding for image classification
    • J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Localityconstrained linear coding for image classification. In CVPR 2010.
    • (2010) CVPR
    • Wang, J.1    Yang, J.2    Yu, K.3    Lv, F.4    Huang, T.5    Gong, Y.6
  • 18
    • 84856651676 scopus 로고    scopus 로고
    • A fast algorithm for creating a compact and discriminative visual codebook
    • L. Wang, L. Zhou, and C. Shen. A fast algorithm for creating a compact and discriminative visual codebook. In ECCV, 2008.
    • (2008) ECCV
    • Wang, L.1    Zhou, L.2    Shen, C.3
  • 19
    • 33745913325 scopus 로고    scopus 로고
    • Object categorization by learned universal visual dictionary
    • J. M. Winn, A. Criminisi, and T. P. Minka. Object categorization by learned universal visual dictionary. In ICCV, 2005.
    • (2005) ICCV
    • Winn, J.M.1    Criminisi, A.2    Minka, T.P.3
  • 20
    • 79959493878 scopus 로고    scopus 로고
    • Centrist: A visual descriptor for scene categorization
    • J. Wu and J. M. Rehg. Centrist: A visual descriptor for scene categorization. IEEE TPAMI., 33(8):1489-1501, 2011.
    • (2011) IEEE TPAMI , vol.33 , Issue.8 , pp. 1489-1501
    • Wu, J.1    Rehg, J.M.2
  • 21
    • 70450209196 scopus 로고    scopus 로고
    • Linear spatial pyramid matching using sparse coding for image classification
    • J. Yang, K. Yu, Y. Gong, and T. S. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009.
    • (2009) CVPR
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.S.4
  • 22
    • 84866665892 scopus 로고    scopus 로고
    • A codebook-free and annotationfree approach for fine-grained image categorization
    • B. Yao, G. R. Bradski, and F.-F. Li. A codebook-free and annotationfree approach for fine-grained image categorization. In CVPR, pages 3466-3473, 2012.
    • (2012) CVPR , pp. 3466-3473
    • Yao, B.1    Bradski, G.R.2    Li, F.-F.3
  • 23
    • 0013246766 scopus 로고    scopus 로고
    • Spectral relaxation for k-means clustering
    • H. Zha, X. He, C. H. Q. Ding, M. Gu, and H. D. Simon. Spectral relaxation for k-means clustering. In NIPS, pages 1057-1064, 2001.
    • (2001) NIPS , pp. 1057-1064
    • Zha, H.1    He, X.2    Ding, C.H.Q.3    Gu, M.4    Simon, H.D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.