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Volumn 37, Issue 8, 2015, Pages 1615-1628

Order preserving sparse coding

Author keywords

Order preserving; Scene classification; Sparse coding; Time sequence classification

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATOMS; CODES (SYMBOLS); HEURISTIC METHODS; IMAGE CLASSIFICATION; IMAGE RETRIEVAL; INPUT OUTPUT PROGRAMS; LEARNING SYSTEMS;

EID: 84947758519     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2014.2362935     Document Type: Article
Times cited : (10)

References (39)
  • 2
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionaries
    • Dec.
    • M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries", IEEE Trans. Image Process., vol. 15, no. 12, pp. 3736-3745, Dec. 2006.
    • (2006) IEEE Trans. Image Process. , vol.15 , Issue.12 , pp. 3736-3745
    • Elad, M.1    Aharon, M.2
  • 3
    • 51949116658 scopus 로고    scopus 로고
    • Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
    • S. Rao, R. Tron, R. Vidal, and Y. Ma, "Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories", in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2008, pp. 1-8.
    • (2008) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 1-8
    • Rao, S.1    Tron, R.2    Vidal, R.3    Ma, Y.4
  • 4
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • H. Zou and T. Hastie, "Regularization and variable selection via the elastic net", J. Roy. Statist. Soc. B, vol. 67, pp. 301-320, 2005.
    • (2005) J. Roy. Statist. Soc. B , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 5
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • M. Yuan and Y. Lin, "Model selection and estimation in regression with grouped variables", J. Roy. Statist. Soc. B, vol. 68, pp. 49-67, 2006.
    • (2006) J. Roy. Statist. Soc. B , vol.68 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 7
    • 77955986472 scopus 로고    scopus 로고
    • Visual classification with multi-task joint sparse representation
    • X. Yuan and S. Yan, "Visual classification with multi-task joint sparse representation", in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2010, pp. 3493-3500.
    • (2010) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 3493-3500
    • Yuan, X.1    Yan, S.2
  • 9
    • 17444406259 scopus 로고    scopus 로고
    • Smooth minimization of non-smooth functions
    • Y. Nesterov, "Smooth minimization of non-smooth functions", Math. Program., vol. 103, pp. 127-152, 2005.
    • (2005) Math. Program. , vol.103 , pp. 127-152
    • Nesterov, Y.1
  • 11
    • 33745170376 scopus 로고    scopus 로고
    • Segmental hidden Markov models with random effects for waveform modeling
    • S. Kim and P. Smyth, "Segmental hidden Markov models with random effects for waveform modeling", J. Mach. Learn. Res., vol. 7, pp. 945-969, 2006.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 945-969
    • Kim, S.1    Smyth, P.2
  • 12
    • 0019610376 scopus 로고
    • A comparative study of several dynamic time-warping algorithms for connected word recognition
    • C. S. Myers and L. R. Rabiner, "A comparative study of several dynamic time-warping algorithms for connected word recognition", Bell Syst. Tech. J., vol. 60, pp. 1389-1409, 1981.
    • (1981) Bell Syst. Tech. J. , vol.60 , pp. 1389-1409
    • Myers, C.S.1    Rabiner, L.R.2
  • 13
    • 2442543440 scopus 로고    scopus 로고
    • Interval and dynamic time warping-based decision trees
    • J. J. Rodriguez and C. J. Alonso, "Interval and dynamic time warping-based decision trees", in Proc. ACM Symp. Appl. Comput., 2004, pp. 548-552.
    • (2004) Proc. ACM Symp. Appl. Comput. , pp. 548-552
    • Rodriguez, J.J.1    Alonso, C.J.2
  • 21
  • 22
    • 72549116352 scopus 로고    scopus 로고
    • On accelerated proximal gradient methods for convexconcave optimization
    • P. Tseng, "On accelerated proximal gradient methods for convexconcave optimization", SIAMJ. Optim., 2008.
    • (2008) SIAMJ. Optim.
    • Tseng, P.1
  • 25
    • 85082159034 scopus 로고    scopus 로고
    • [Online]. Available: http://mocap.cs.cmu.edu/
  • 27
    • 84859955030 scopus 로고    scopus 로고
    • Human activity detection from RGBD images
    • 1107.0169
    • J. Sung, C. Ponce, B. Selman, and A. Saxena, "Human activity detection from RGBD images", CoRR vol. abs/1107.0169, 2011.
    • (2011) CoRR
    • Sung, J.1    Ponce, C.2    Selman, B.3    Saxena, A.4
  • 28
    • 77955994285 scopus 로고    scopus 로고
    • Local features are not lonely-Laplacian sparse coding for image classification
    • S. Gao, I. W. Tsang, L.-T. Chia, and P. Zhao, "Local features are not lonely-Laplacian sparse coding for image classification", in Proc. Comput. Vis. Pattern Recog., 2010, pp. 3555-3561.
    • (2010) Proc. Comput. Vis. Pattern Recog. , pp. 3555-3561
    • Gao, S.1    Tsang, I.W.2    Chia, L.-T.3    Zhao, P.4
  • 29
    • 84867887811 scopus 로고    scopus 로고
    • Latent pyramidal regions for recognizing scenes
    • F. Sadeghi and M. F. Tappen, "Latent pyramidal regions for recognizing scenes", in Proc. Eur. Conf. Comput. Vis., 2012, pp. 228-241.
    • (2012) Proc. Eur. Conf. Comput. Vis. , pp. 228-241
    • Sadeghi, F.1    Tappen, M.F.2
  • 30
    • 84897528758 scopus 로고    scopus 로고
    • Smooth sparse coding via marginal regression for learning sparse representations
    • K. Balasubramanian, K. Yu, and G. Lebanon, "Smooth sparse coding via marginal regression for learning sparse representations", in Proc. Int. Conf. Mach. Learn., 2013.
    • (2013) Proc. Int. Conf. Mach. Learn.
    • Balasubramanian, K.1    Yu, K.2    Lebanon, G.3
  • 31
    • 84887371776 scopus 로고    scopus 로고
    • BoF meets HOG: Feature extraction based on histograms of oriented p. D.F gradients for image classification
    • T. Kobayashi, "BoF meets HOG: Feature extraction based on histograms of oriented p. d.f gradients for image classification", in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2013, pp. 747-754.
    • (2013) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 747-754
    • Kobayashi, T.1
  • 32
    • 84867882770 scopus 로고    scopus 로고
    • Beyond spatial pyramids: A new feature extraction framework with dense spatial sampling for image classification
    • S. Yan, X. Xu, D. Xu, S. Lin, and X. Li, "Beyond spatial pyramids: A new feature extraction framework with dense spatial sampling for image classification", in Proc. Eur. Conf. Comput. Vis., 2012, pp. 473-487.
    • (2012) Proc. Eur. Conf. Comput. Vis. , pp. 473-487
    • Yan, S.1    Xu, X.2    Xu, D.3    Lin, S.4    Li, X.5
  • 35
    • 70450209196 scopus 로고    scopus 로고
    • Linear spatial pyramid matching using sparse coding for image classification
    • J. Yang, K. Yu, Y. Gong, and T. Huang, "Linear spatial pyramid matching using sparse coding for image classification", in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2009, pp. 1794-1801.
    • (2009) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 1794-1801
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.4
  • 36
    • 84872249563 scopus 로고    scopus 로고
    • Linear distance coding for image classification
    • Sep.
    • Z. Wang, J. Feng, S. Yan, and H. Xi, "Linear distance coding for image classification", IEEE Trans. Image Process., vol. 22, no. 2, pp. 537-548, Sep. 2012.
    • (2012) IEEE Trans. Image Process. , vol.22 , Issue.2 , pp. 537-548
    • Wang, Z.1    Feng, J.2    Yan, S.3    Xi, H.4
  • 37
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe, "Distinctive image features from scale-invariant keypoints", Int. J. Comput. Vis., vol. 60, pp. 91-110, 2004.
    • (2004) Int. J. Comput. Vis. , vol.60 , pp. 91-110
    • Lowe, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.