메뉴 건너뛰기




Volumn 3, Issue , 2014, Pages 2746-2754

Nearest neighbors using compact sparse codes

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; LEARNING SYSTEMS;

EID: 84919904393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (44)
  • 1
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing over complete dictionaries for sparse representation
    • Aharon, M., Elad, M., and Bruckstein, A. K-SVD: An algorithm for designing over complete dictionaries for sparse representation. TSP, 54(11):4311-4322, 2006.
    • (2006) TSP , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 3
    • 84866710693 scopus 로고    scopus 로고
    • The inverted multi-index
    • Babenko, A. and Lempitsky, V. The inverted multi-index. In CVPR, 2012.
    • (2012) CVPR
    • Babenko, A.1    Lempitsky, V.2
  • 6
    • 0014814325 scopus 로고
    • Space/time trade-offs in hash coding with allowable errors
    • Bloom, B. H. Space/time trade-offs in hash coding with allowable errors. Communications of the ACM, 13(7): 422-426, 1970.
    • (1970) Communications of the ACM , vol.13 , Issue.7 , pp. 422-426
    • Bloom, B.H.1
  • 7
    • 84867882577 scopus 로고    scopus 로고
    • Nested sparse quantization for efficient feature coding
    • Springer
    • Boix, X., Roig, G., Leistner, C., and Van Gool, L. Nested sparse quantization for efficient feature coding. In ECCV, pp. 744-758. Springer, 2012.
    • (2012) ECCV , pp. 744-758
    • Boix, X.1    Roig, G.2    Leistner, C.3    Van Gool, L.4
  • 9
    • 84889649564 scopus 로고    scopus 로고
    • Sparsity induced similarity measure and its applications
    • Cheng, H., Liu, Z., Hou, L., and Yang, J. Sparsity induced similarity measure and its applications. In TCSVT, 2012.
    • (2012) TCSVT
    • Cheng, H.1    Liu, Z.2    Hou, L.3    Yang, J.4
  • 11
    • 73849136385 scopus 로고    scopus 로고
    • Large-scale discovery of spatially related images
    • Chum, O. and Matas, J. Large-scale discovery of spatially related images. PAMI, 32(2):371-377, 2010.
    • (2010) PAMI , vol.32 , Issue.2 , pp. 371-377
    • Chum, O.1    Matas, J.2
  • 12
    • 36849022661 scopus 로고    scopus 로고
    • Scalable near identical image and shot detection
    • ACM
    • Chum, O., Philbin, J., Isard, M., and Zisserman, A. Scalable near identical image and shot detection. In CIVR. ACM, 2007.
    • (2007) CIVR
    • Chum, O.1    Philbin, J.2    Isard, M.3    Zisserman, A.4
  • 13
    • 84898444828 scopus 로고    scopus 로고
    • Near duplicate image detection: Min-hash and TF-IDF weighting
    • Chum, O., Philbin, J., and Zisserman, A. Near duplicate image detection: Min-Hash and TF-IDF weighting. In BMVC, 2008.
    • (2008) BMVC
    • Chum, O.1    Philbin, J.2    Zisserman, A.3
  • 15
    • 77955655063 scopus 로고    scopus 로고
    • Semi-supervised learning in gigantic image collections
    • Fergus, R., Weiss, Y., and Torralba, A. Semi-supervised learning in gigantic image collections. In NIPS, 2009.
    • (2009) NIPS
    • Fergus, R.1    Weiss, Y.2    Torralba, A.3
  • 16
    • 80052874105 scopus 로고    scopus 로고
    • Iterative quantization: A procrustean approach to learning binary codes
    • Gong, Y. and Lazebnik, S. Iterative quantization: A procrustean approach to learning binary codes. In CVPR, 2011.
    • (2011) CVPR
    • Gong, Y.1    Lazebnik, S.2
  • 17
    • 80052897324 scopus 로고    scopus 로고
    • Asymmetric distances for binary embeddings
    • Gordo, A. and Perronnin, F. Asymmetric distances for binary embeddings. In CVPR, 2011.
    • (2011) CVPR
    • Gordo, A.1    Perronnin, F.2
  • 19
    • 0031644241 scopus 로고    scopus 로고
    • Approximate nearest neighbors: Towards removing the curse of dimensionality
    • Indyk, P. and Motwani, R. Approximate nearest neighbors: towards removing the curse of dimensionality. Theory of Computing, pp. 604-613, 1998.
    • (1998) Theory of Computing , pp. 604-613
    • Indyk, P.1    Motwani, R.2
  • 20
    • 0001368373 scopus 로고
    • Etude comparative de la distribution florale dans une portion des alpes et du jura
    • Jaccard, P. Etude comparative de la distribution florale dans une portion des Alpes et du Jura. Bulletin de la Socit vaudoise des Sciences Naturelles, 37:547-579, 1901.
    • (1901) Bulletin de la Socit Vaudoise des Sciences Naturelles , vol.37 , pp. 547-579
    • Jaccard, P.1
  • 21
    • 78649317568 scopus 로고    scopus 로고
    • Product quantization for nearest neighbor search
    • Jegou, H, Douze, M, and Schmid, C. Product quantization for nearest neighbor search. PAMI, 33(1): 117-128, 2011.
    • (2011) PAMI , vol.33 , Issue.1 , pp. 117-128
    • Jegou, H.1    Douze, M.2    Schmid, C.3
  • 22
    • 80051606616 scopus 로고    scopus 로고
    • Searching in one billion vectors: Re-rank with source coding
    • Jegou, H., Tavenard, R., Douze, M., and Amsaleg, L. Searching in one billion vectors: re-rank with source coding. In ICASSP, pp. 861-864, 2011.
    • (2011) ICASSP , pp. 861-864
    • Jegou, H.1    Tavenard, R.2    Douze, M.3    Amsaleg, L.4
  • 24
    • 84919937923 scopus 로고    scopus 로고
    • A sparse coding based similarity measure
    • Klenk, S. and Heidemann, G. A sparse coding based similarity measure. In DMIN, 2009.
    • (2009) DMIN
    • Klenk, S.1    Heidemann, G.2
  • 25
    • 84919937922 scopus 로고    scopus 로고
    • Kernelized locality-sensitive hashing for scalable image search
    • Kulis, B. and Grauman, K. Kernelized locality-sensitive hashing for scalable image search. In CVPR, 2009.
    • (2009) CVPR
    • Kulis, B.1    Grauman, K.2
  • 26
    • 84874558465 scopus 로고    scopus 로고
    • Incoherent dictionary learning for sparse representation
    • Lin, T., Liu, S., and Zha, H. Incoherent dictionary learning for sparse representation. In ICPR, 2012.
    • (2012) ICPR
    • Lin, T.1    Liu, S.2    Zha, H.3
  • 29
    • 76749107542 scopus 로고    scopus 로고
    • Online learning for matrix factorization and sparse coding
    • Mairal, J., Bach, F., Ponce, J., and Sapiro, G. Online learning for matrix factorization and sparse coding. JMLR, 11:19-60, 2010.
    • (2010) JMLR , vol.11 , pp. 19-60
    • Mairal, J.1    Bach, F.2    Ponce, J.3    Sapiro, G.4
  • 30
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • Nister, D. and Stewenius, H. Scalable recognition with a vocabulary tree. In CVPR, 2006.
    • (2006) CVPR
    • Nister, D.1    Stewenius, H.2
  • 32
    • 80053457714 scopus 로고    scopus 로고
    • Minimal loss hashing for compact binary codes
    • Norouzi, Mohammad and Blei, David M. Minimal loss hashing for compact binary codes. In ICML, 2011.
    • (2011) ICML
    • Norouzi, M.1    Blei, D.M.2
  • 33
    • 79954525255 scopus 로고    scopus 로고
    • Locality-sensitive binary codes from shift-invariant kernels
    • Raginsky, M. and Lazebnik, S. Locality-sensitive binary codes from shift-invariant kernels. In NIPS, 2009.
    • (2009) NIPS
    • Raginsky, M.1    Lazebnik, S.2
  • 34
    • 77955994663 scopus 로고    scopus 로고
    • Classification and clustering via dictionary learning with structured incoherence and shared features
    • Ramirez, I., Sprechmann, P., and Sapiro, G. Classification and clustering via dictionary learning with structured incoherence and shared features. In CVPR, 2010.
    • (2010) CVPR
    • Ramirez, I.1    Sprechmann, P.2    Sapiro, G.3
  • 35
    • 81855191888 scopus 로고    scopus 로고
    • LDA hash: Improved matching with smaller descriptors
    • Strecha, C., Bronstein, A., Bronstein, M., and Fua, P. LDA Hash: Improved matching with smaller descriptors. PAMI, 34(1):66-78, 2012.
    • (2012) PAMI , vol.34 , Issue.1 , pp. 66-78
    • Strecha, C.1    Bronstein, A.2    Bronstein, M.3    Fua, P.4
  • 36
    • 64649083745 scopus 로고    scopus 로고
    • Signal recovery from random measurements via orthogonal matching pursuit
    • Tropp, J. and Gilbert, A. Signal recovery from random measurements via orthogonal matching pursuit. TIT, 53 (12):4655-4666, 2007.
    • (2007) TIT , vol.53 , Issue.12 , pp. 4655-4666
    • Tropp, J.1    Gilbert, A.2
  • 37
    • 50649101051 scopus 로고    scopus 로고
    • Vector quantizing feature space with a regular lattice
    • Tuytelaars, T. and Schmid, C. Vector quantizing feature space with a regular lattice. In ICCV, 2007.
    • (2007) ICCV
    • Tuytelaars, T.1    Schmid, C.2
  • 38
    • 77955996870 scopus 로고    scopus 로고
    • Locality-constrained linear coding for image classification
    • Wang, J., Yang, J., Yu, K., Lv, F., Huang, T. and Gong, Y. Locality-constrained 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
  • 41
    • 78049373472 scopus 로고    scopus 로고
    • Structured and incoherent parametric dictionary design
    • Yaghoobi, M., Daudet, L., and Davies, M. Structured and incoherent parametric dictionary design. In ICASSP, 2010.
    • (2010) ICASSP
    • Yaghoobi, M.1    Daudet, L.2    Davies, M.3
  • 42
    • 70450209196 scopus 로고    scopus 로고
    • Linear spatial pyramid matching using sparse coding for image classification
    • IEEE
    • Yang, J., Yu, K., Gong, Y., and Huang, T. Linear spatial pyramid matching using sparse coding for image classification. In CVPR. IEEE, 2009.
    • (2009) CVPR
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.4
  • 43
    • 78049401656 scopus 로고    scopus 로고
    • Approximate nearest neighbors using sparse representations
    • Zepeda, J., Kijak, E., and Guillemot, C. Approximate nearest neighbors using sparse representations. In ICASSP, 2010.
    • (2010) ICASSP
    • Zepeda, J.1    Kijak, E.2    Guillemot, C.3
  • 44
    • 84878612787 scopus 로고    scopus 로고
    • Sparse hashing for fast multimedia search
    • Zhu, X., Huang, Z., Cheng, H., Cui, J., and Shen, H. Sparse hashing for fast multimedia search. ACM TIS, 31(2):9, 2013.
    • (2013) ACM TIS , vol.31 , Issue.2 , pp. 9
    • Zhu, X.1    Huang, Z.2    Cheng, H.3    Cui, J.4    Shen, H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.