메뉴 건너뛰기




Volumn 93, Issue 1, 2013, Pages 1-11

Sparse coding and classifier ensemble based multi-instance learning for image categorization

Author keywords

Classifier ensemble; Image categorization; Multi instance learning; Sparse coding

Indexed keywords

BASIS VECTOR; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFIER ENSEMBLES; COMPONENT CLASSIFIERS; DATA SETS; DIFFERENT SIZES; FEATURE VECTORS; IMAGE CATEGORIZATION; LEARNING METHODS; LEARNING PROBLEM; LINEAR COMBINATIONS; MULTI-INSTANCE LEARNING; SPARSE CODING; SPARSE REPRESENTATION;

EID: 84866376560     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2012.07.029     Document Type: Review
Times cited : (48)

References (55)
  • 2
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • T.G. Dietterich, R.H. Lathrop, and T. Lozano-Perez Solving the multiple instance problem with axis-parallel rectangles Artificial Intelligence 89 1-2 1997 31 71
    • (1997) Artificial Intelligence , vol.89 , Issue.12 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Perez, T.3
  • 3
    • 3343014537 scopus 로고    scopus 로고
    • On generalized multiple instance learning
    • Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE
    • S. Scott, J. Zhang, J. Brown, On generalized multiple instance learning, Technical Report UNL-CSE-2003-5, Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE, 2003.
    • (2003) Technical Report UNL-CSE-2003-5
    • Scott, S.1    Zhang, J.2    Brown, J.3
  • 5
    • 84863161940 scopus 로고    scopus 로고
    • Image categorization by learning and reasoning with regions
    • Y. Chen, and J.Z. Wang Image categorization by learning and reasoning with regions Journal of Machine Learning Research 5 8 2004 913 939
    • (2004) Journal of Machine Learning Research , vol.5 , Issue.8 , pp. 913-939
    • Chen, Y.1    Wang, J.Z.2
  • 8
    • 0033884407 scopus 로고    scopus 로고
    • Image database retrieval with multiple-instance learning techniques
    • C. Yang, T. Lozano-Pérez, Image database retrieval with multiple-instance learning techniques, in: Proceedings of IEEE Conference on Data Engineering, 2000, pp. 233-243.
    • (2000) Proceedings of IEEE Conference on Data Engineering , pp. 233-243
    • Yang, C.1
  • 11
    • 79955469600 scopus 로고    scopus 로고
    • LSA based multi-instance learning algorithm for image retrieval
    • D.-X. Li, J.-Y. Peng, and Z. Li LSA based multi-instance learning algorithm for image retrieval Signal Processing 91 8 2011 1993 2000
    • (2011) Signal Processing , vol.91 , Issue.8 , pp. 1993-2000
    • Li, D.-X.1    Peng, J.-Y.2    Li, Z.3
  • 23
    • 33947396751 scopus 로고    scopus 로고
    • Solving multi-instance problems with classifier ensemble based on constructive clustering
    • Z.-H. Zhou, and M.-L. Zhang Solving multi-instance problems with classifier ensemble based on constructive clustering Knowledge and Information System 11 2 2007 155 170
    • (2007) Knowledge and Information System , vol.11 , Issue.2 , pp. 155-170
    • Zhou, Z.-H.1    Zhang, M.-L.2
  • 25
    • 33745609124 scopus 로고    scopus 로고
    • Multi-instance learning: A survey
    • AI Lab, Department of Computer Science & Technology, Nanjing University, Nanjing, China
    • Z.-H. Zhou, Multi-instance learning: a survey. Technical Report, AI Lab, Department of Computer Science & Technology, Nanjing University, Nanjing, China, 2004.
    • (2004) Technical Report
    • Zhou, Z.-H.1
  • 26
    • 77952349835 scopus 로고    scopus 로고
    • A review of multi-instance learning assumptions
    • F. James, and E. Frank A review of multi-instance learning assumptions The Knowledge Engineering Review 25 1 2010 1 25
    • (2010) The Knowledge Engineering Review , vol.25 , Issue.1 , pp. 1-25
    • James, F.1    Frank, E.2
  • 32
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B.A. Olshausen, and D.J. Field Emergence of simple-cell receptive field properties by learning a sparse code for natural images Nature 381 6583 1996 607 609
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 33
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an over complete basis set: A strategy employed by V1?
    • B.A. Olshausen, and D.J. Field Sparse coding with an over complete basis set: a strategy employed by V1? Vision Research 37 23 1996 3311 3325
    • (1996) Vision Research , vol.37 , Issue.23 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 34
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionaries
    • M. Elad, and M. Aharon Image denoising via sparse and redundant representations over learned dictionaries IEEE Transactions on Image Processing 54 12 2006 3736 3745
    • (2006) IEEE Transactions on Image Processing , vol.54 , Issue.12 , pp. 3736-3745
    • Elad, M.1    Aharon, M.2
  • 36
    • 80052293466 scopus 로고    scopus 로고
    • Multi-stage image denoising based on correlation coefficient matching and sparse dictionary pruning
    • Y.-M. He, T. Gan, and W.-F. Chen Multi-stage image denoising based on correlation coefficient matching and sparse dictionary pruning Signal Processing 92 1 2012 139 149
    • (2012) Signal Processing , vol.92 , Issue.1 , pp. 139-149
    • He, Y.-M.1    Gan, T.2    Chen, W.-F.3
  • 38
    • 76749107542 scopus 로고    scopus 로고
    • Online learning for matrix factorization and sparse coding
    • J. Mairal, F. Bach, and J. Ponce Online learning for matrix factorization and sparse coding Journal of Machine Learning Research 11 1 2010 19 60
    • (2010) Journal of Machine Learning Research , vol.11 , Issue.1 , pp. 19-60
    • Mairal, J.1    Bach, F.2    Ponce, J.3
  • 39
  • 42
    • 84863879353 scopus 로고    scopus 로고
    • Coordinate descent algorithms for Lasso penalized regression
    • T.T. Wu, and K. Lange Coordinate descent algorithms for Lasso penalized regression Annals of Applied Statistics 2 1 2008 224 244
    • (2008) Annals of Applied Statistics , vol.2 , Issue.1 , pp. 224-244
    • Wu, T.T.1    Lange, K.2
  • 44
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing over complete dictionaries for sparse representation
    • M. Aharon, M. Elad, and A. Bruckstein K-SVD: an algorithm for designing over complete dictionaries for sparse representation IEEE Transactions on Signal Processing 54 11 2006 4311 4322
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 47
    • 33748611921 scopus 로고    scopus 로고
    • Ensemble based systems in decision making
    • R. Polikar Ensemble based systems in decision making IEEE Circuits and Systems Magazine 6 3 2006 21 45
    • (2006) IEEE Circuits and Systems Magazine , vol.6 , Issue.3 , pp. 21-45
    • Polikar, R.1
  • 49
    • 0018491303 scopus 로고
    • Asymptotically optimum block quantization
    • A. Gersho Asymptotically optimum block quantization IEEE Transactions on Information Theory 25 4 1979 373 380
    • (1979) IEEE Transactions on Information Theory , vol.25 , Issue.4 , pp. 373-380
    • Gersho, A.1
  • 50
    • 4043096371 scopus 로고    scopus 로고
    • A robust color object analysis approach to efficient image retrieval
    • R. Zhang, and Z. Zhang A robust color object analysis approach to efficient image retrieval EURASIP Journal on Applied Signal Processing 6 2004 871 885
    • (2004) EURASIP Journal on Applied Signal Processing , vol.6 , pp. 871-885
    • Zhang, R.1    Zhang, Z.2
  • 54
    • 0036567392 scopus 로고    scopus 로고
    • Ensemble neural networks: Many could be better than all
    • Z.-H. Zhou, J. Wu, and W. Tang Ensemble neural networks: many could be better than all Artificial Intelligence 137 1-2 2002 239 263
    • (2002) Artificial Intelligence , vol.137 , Issue.12 , pp. 239-263
    • Zhou, Z.-H.1    Wu, J.2    Tang, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.