메뉴 건너뛰기




Volumn , Issue , 2012, Pages 885-888

Similar image search with a tiny bag-of-delegates representation

Author keywords

adaptive forward selection; bag of delegates; similar image search; spatial partition trees

Indexed keywords

BAG-OF-DELEGATES; FORWARD SELECTION; IMAGE DATABASE; INDEX IMAGE; INVERTED INDICES; LARGE IMAGE DATABASE; SEARCH ACCURACY; SEARCH PERFORMANCE; SIMILAR IMAGE; SPATIAL PARTITION TREE;

EID: 84871400243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2396338     Document Type: Conference Paper
Times cited : (5)

References (17)
  • 1
    • 0016557674 scopus 로고
    • Multidimensional binary search trees used for associative searching
    • J. L. Bentley. Multidimensional binary search trees used for associative searching. Commun. ACM, 18(9):509-517, 1975.
    • (1975) Commun. ACM , vol.18 , Issue.9 , pp. 509-517
    • Bentley, J.L.1
  • 2
    • 57049122948 scopus 로고    scopus 로고
    • Random projection trees and low dimensional manifolds
    • S. Dasgupta and Y. Freund. Random projection trees and low dimensional manifolds. In STOC, pages 537-546, 2008.
    • (2008) STOC , pp. 537-546
    • Dasgupta, S.1    Freund, Y.2
  • 4
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci., 55(1):119-139, 1997.
    • (1997) J. Comput. Syst. Sci. , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 6
    • 0000094594 scopus 로고
    • An iteration method for the solution of the eigenvalue problem of linear differential and integral operators
    • C. Lanczos. An iteration method for the solution of the eigenvalue problem of linear differential and integral operators. Journal of Research of the National Bureau of Standards, 45(4):255-282, 1950.
    • (1950) Journal of Research of the National Bureau of Standards , vol.45 , Issue.4 , pp. 255-282
    • Lanczos, C.1
  • 7
    • 70349675925 scopus 로고    scopus 로고
    • Fast approximate nearest neighbors with automatic algorithm configuration
    • M. Muja and D. G. Lowe. Fast approximate nearest neighbors with automatic algorithm configuration. In VISAPP (1), pages 331-340, 2009.
    • (2009) VISAPP , Issue.1 , pp. 331-340
    • Muja, M.1    Lowe, D.G.2
  • 8
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • D. Nistér and H. Stewénius. Scalable recognition with a vocabulary tree. In CVPR (2), pages 2161-2168, 2006.
    • (2006) CVPR , Issue.2 , pp. 2161-2168
    • Nistér, D.1    Stewénius, H.2
  • 9
    • 34948903793 scopus 로고    scopus 로고
    • Object retrieval with large vocabularies and fast spatial matching
    • J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007.
    • (2007) CVPR
    • Philbin, J.1    Chum, O.2    Isard, M.3    Sivic, J.4    Zisserman, A.5
  • 10
    • 0025796458 scopus 로고
    • Refinements to nearest-neighbor searching in k-dimensional trees
    • R. F. Sproull. Refinements to nearest-neighbor searching in k-dimensional trees. Algorithmica, 6(4):579-589, 1991.
    • (1991) Algorithmica , vol.6 , Issue.4 , pp. 579-589
    • Sproull, R.F.1
  • 11
    • 54749092170 scopus 로고    scopus 로고
    • 80 Million tiny images: A large data set for nonparametric object and scene recognition
    • A. Torralba, R. Fergus, and W. T. Freeman. 80 million tiny images: A large data set for nonparametric object and scene recognition. IEEE Trans. Pattern Anal. Mach. Intell., 30(11):1958-1970, 2008.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.11 , pp. 1958-1970
    • Torralba, A.1    Fergus, R.2    Freeman, W.T.3
  • 12
    • 79952184354 scopus 로고    scopus 로고
    • Which spatial partition trees are adaptive to intrinsic dimension?
    • N. Verma, S. Kpotufe, and S. Dasgupta. Which spatial partition trees are adaptive to intrinsic dimension? In UAI, pages 565-574, 2009.
    • (2009) UAI , pp. 565-574
    • Verma, N.1    Kpotufe, S.2    Dasgupta, S.3
  • 13
    • 84871365330 scopus 로고    scopus 로고
    • Query-driven iterated neighborhood graph search for large scale indexing
    • J. Wang and S. Li. Query-driven iterated neighborhood graph search for large scale indexing. In ACM Multimedia, 2012.
    • (2012) ACM Multimedia
    • Wang, J.1    Li, S.2
  • 15
    • 84866714838 scopus 로고    scopus 로고
    • Scalable k-nn graph construction for visual descriptors
    • J. Wang, J. Wang, G. Zeng, Z. Tu, R. Gan, and S. Li. Scalable k-nn graph construction for visual descriptors. In CVPR, pages 1106-1113, 2012.
    • (2012) CVPR , pp. 1106-1113
    • Wang, J.1    Wang, J.2    Zeng, G.3    Tu, Z.4    Gan, R.5    Li, S.6
  • 16
  • 17
    • 84863036764 scopus 로고    scopus 로고
    • Complementary hashing for approximate nearest neighbor search
    • H. Xu, J. Wang, Z. Li, G. Zeng, S. Li, and N. Yu. Complementary hashing for approximate nearest neighbor search. In ICCV, pages 1631-1638, 2011.
    • (2011) ICCV , pp. 1631-1638
    • Xu, H.1    Wang, J.2    Li, Z.3    Zeng, G.4    Li, S.5    Yu, N.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.