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Volumn , Issue , 2013, Pages 2128-2135

Fast neighborhood graph search using cartesian concatenation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

EID: 84898781018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.265     Document Type: Conference Paper
Times cited : (27)

References (46)
  • 1
    • 80052658766 scopus 로고    scopus 로고
    • Fast approximate similarity search based on degree-reduced neighborhood graphs
    • K. Aoyama, K. Saito, H. Sawada, and N. Ueda. Fast approximate similarity search based on degree-reduced neighborhood graphs. In KDD, pages 1055-1063, 2011.
    • (2011) KDD , pp. 1055-1063
    • Aoyama, K.1    Saito, K.2    Sawada, H.3    Ueda, N.4
  • 2
    • 0027147590 scopus 로고
    • Approximate nearest neighbor queries in fixed dimensions
    • S. Arya and D. M. Mount. Approximate nearest neighbor queries in fixed dimensions. In SODA, pages 271-280, 1993.
    • (1993) SODA , pp. 271-280
    • Arya, S.1    Mount, D.M.2
  • 3
    • 0032201716 scopus 로고    scopus 로고
    • An optimal algorithm for approximate nearest neighbor searching in fixed dimensions
    • S. Arya, D. M. Mount, N. S. Netanyahu, R. Silverman, and A. Y.Wu. An optimal algorithm for approximate nearest neighbor searching in fixed dimensions. J. ACM, 45(6):891-923, 1998.
    • (1998) J. ACM , vol.45 , Issue.6 , pp. 891-923
    • Arya, S.1    Mount, D.M.2    Netanyahu, N.S.3    Silverman, R.4    Wu, A.Y.5
  • 4
    • 84866710693 scopus 로고    scopus 로고
    • The inverted multi-index
    • A. Babenko and V. S. Lempitsky. The inverted multi-index. In CVPR, pages 3069-3076, 2012.
    • (2012) CVPR , pp. 3069-3076
    • Babenko, A.1    Lempitsky, V.S.2
  • 5
    • 0030715166 scopus 로고    scopus 로고
    • Shape indexing using approximate nearestneighbour search in high-dimensional spaces
    • J. S. Beis and D. G. Lowe. Shape indexing using approximate nearestneighbour search in high-dimensional spaces. In CVPR, pages 1000-1006, 1997.
    • (1997) CVPR , pp. 1000-1006
    • Beis, J.S.1    Lowe, D.G.2
  • 6
    • 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
  • 7
    • 33749260356 scopus 로고    scopus 로고
    • Cover trees for nearest neighbor
    • A. Beygelzimer, S. Kakade, and J. Langford. Cover trees for nearest neighbor. In ICML, pages 97-104, 2006.
    • (2006) ICML , pp. 97-104
    • Beygelzimer, A.1    Kakade, S.2    Langford, J.3
  • 8
    • 0345414493 scopus 로고    scopus 로고
    • Recognising panoramas
    • M. Brown and D. G. Lowe. Recognising panoramas. In ICCV, pages 1218-1227, 2003.
    • (2003) ICCV , pp. 1218-1227
    • Brown, M.1    Lowe, D.G.2
  • 9
    • 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
  • 11
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In CVPR 2004 Workshop on Generative-Model Based Vision, 2004.
    • (2004) CVPR 2004 Workshop on Generative-Model Based Vision
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 12
    • 84945709355 scopus 로고
    • An algorithm for finding best matches in logarithmic expected time
    • J. H. Friedman, J. L. Bentley, and R. A. Finkel. An algorithm for finding best matches in logarithmic expected time. ACMTrans. Math. Softw., 3(3):209-226, 1977.
    • (1977) ACMTrans. Math. Softw. , vol.3 , Issue.3 , pp. 209-226
    • Friedman, J.H.1    Bentley, J.L.2    Finkel, R.A.3
  • 13
    • 50649117726 scopus 로고    scopus 로고
    • Learning globally-consistent local distance functions for shape-based image retrieval and classification
    • A. Frome, Y. Singer, F. Sha, and J. Malik. Learning globally-consistent local distance functions for shape-based image retrieval and classification. In ICCV, pages 1-8, 2007.
    • (2007) ICCV , pp. 1-8
    • Frome, A.1    Singer, Y.2    Sha, F.3    Malik, J.4
  • 14
    • 80052874105 scopus 로고    scopus 로고
    • Iterative quantization: A procrustean approach to learning binary codes
    • Y. Gong and S. Lazebnik. Iterative quantization: A procrustean approach to learning binary codes. In CVPR, pages 817-824, 2011.
    • (2011) CVPR , pp. 817-824
    • Gong, Y.1    Lazebnik, S.2
  • 15
    • 84871396895 scopus 로고    scopus 로고
    • Fast approximate nearest-neighbor search with k-nearest neighbor graph
    • K. Hajebi, Y. Abbasi-Yadkori, H. Shahbazi, and H. Zhang. Fast approximate nearest-neighbor search with k-nearest neighbor graph. In IJCAI, pages 1312-1317, 2011.
    • (2011) IJCAI , pp. 1312-1317
    • Hajebi, K.1    Abbasi-Yadkori, Y.2    Shahbazi, H.3    Zhang, H.4
  • 16
    • 34547673022 scopus 로고    scopus 로고
    • Scene completion using millions of photographs
    • J. Hays and A. A. Efros. Scene completion using millions of photographs. ACM Trans. Graph., 26(3):4, 2007.
    • (2007) ACM Trans. Graph. , vol.26 , Issue.3 , pp. 4
    • Hays, J.1    Efros, A.A.2
  • 17
    • 84866669440 scopus 로고    scopus 로고
    • A fast nearest neighbor search algorithm by nonlinear embedding
    • Y. Hwang, B. Han, and H.-K. Ahn. A fast nearest neighbor search algorithm by nonlinear embedding. In CVPR, pages 3053-3060, 2012.
    • (2012) CVPR , pp. 3053-3060
    • Hwang, Y.1    Han, B.2    Ahn, H.-K.3
  • 19
    • 80051606616 scopus 로고    scopus 로고
    • Searching in one billion vectors: Re-rank with source coding
    • H. J́egou, R. Tavenard, M. Douze, and L. Amsaleg. Searching in one billion vectors: Re-rank with source coding. In ICASSP, pages 861-864, 2011.
    • (2011) ICASSP , pp. 861-864
    • J́egou, H.1    Tavenard, R.2    Douze, M.3    Amsaleg, L.4
  • 20
    • 77955990235 scopus 로고    scopus 로고
    • Optimizing kd-trees for scalable visual descriptor indexing
    • Y. Jia, J. Wang, G. Zeng, H. Zha, and X.-S. Hua. Optimizing kd-trees for scalable visual descriptor indexing. In CVPR, pages 3392-3399, 2010.
    • (2010) CVPR , pp. 3392-3399
    • Jia, Y.1    Wang, J.2    Zeng, G.3    Zha, H.4    Hua, X.-S.5
  • 21
    • 79959696213 scopus 로고    scopus 로고
    • Learning to hash with binary reconstructive embeddings
    • B. Kulis and T. Darrells. Learning to hash with binary reconstructive embeddings. In NIPS, pages 577-584, 2009.
    • (2009) NIPS , pp. 577-584
    • Kulis, B.1    Darrells, T.2
  • 22
    • 77953184849 scopus 로고    scopus 로고
    • Kernelized locality-sensitive hashing for scalable image search
    • B. Kulis and K. Grauman. Kernelized locality-sensitive hashing for scalable image search. In ICCV, 2009.
    • (2009) ICCV
    • Kulis, B.1    Grauman, K.2
  • 23
    • 0000456676 scopus 로고    scopus 로고
    • Real-time texture synthesis by patch-based sampling
    • L. Liang, C. Liu, Y.-Q. Xu, B. Guo, and H.-Y. Shum. Real-time texture synthesis by patch-based sampling. ACM Trans. Graph., 20(3):127-150, 2001.
    • (2001) ACM Trans. Graph. , vol.20 , Issue.3 , pp. 127-150
    • Liang, L.1    Liu, C.2    Xu, Y.-Q.3    Guo, B.4    Shum, H.-Y.5
  • 24
    • 33745200865 scopus 로고    scopus 로고
    • An investigation of practical approximate nearest neighbor algorithms
    • T. Liu, A. W. Moore, A. G. Gray, and K. Yang. An investigation of practical approximate nearest neighbor algorithms. In NIPS, 2004.
    • (2004) NIPS
    • Liu, T.1    Moore, A.W.2    Gray, A.G.3    Yang, K.4
  • 25
    • 84955245129 scopus 로고    scopus 로고
    • Multi-probe lsh: Efficient indexing for high-dimensional similarity search
    • Q. Lv, W. Josephson, Z. Wang, M. Charikar, and K. Li. Multi-probe lsh: Efficient indexing for high-dimensional similarity search. In VLDB, pages 950-961, 2007.
    • (2007) VLDB , pp. 950-961
    • Lv, Q.1    Josephson, W.2    Wang, Z.3    Charikar, M.4    Li, K.5
  • 26
    • 1942419246 scopus 로고    scopus 로고
    • The anchors hierarchy: Using the triangle inequality to survive high dimensional data
    • A. W. Moore. The anchors hierarchy: Using the triangle inequality to survive high dimensional data. In UAI, pages 397-405, 2000.
    • (2000) UAI , pp. 397-405
    • Moore, A.W.1
  • 27
    • 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 VISSAPP (1), pages 331-340, 2009.
    • (2009) VISSAPP , vol.1 , pp. 331-340
    • Muja, M.1    Lowe, D.G.2
  • 28
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • D. Nist́er and H. Steẃenius. Scalable recognition with a vocabulary tree. In CVPR (2), pages 2161-2168, 2006.
    • (2006) CVPR , Issue.2 , pp. 2161-2168
    • Nist́er, D.1    Steẃenius, H.2
  • 29
    • 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
  • 30
    • 79954525255 scopus 로고    scopus 로고
    • Locality sensitive binary codes from shiftinvariant kernels
    • M. Raginsky and S. Lazebnik. Locality sensitive binary codes from shiftinvariant kernels. In NIPS, 2009.
    • (2009) NIPS
    • Raginsky, M.1    Lazebnik, S.2
  • 32
    • 3042622703 scopus 로고    scopus 로고
    • Metric-based shape retrieval in large databases
    • T. B. Sebastian and B. B. Kimia. Metric-based shape retrieval in large databases. In ICPR (3), pages 291-296, 2002.
    • (2002) ICPR , Issue.3 , pp. 291-296
    • Sebastian, T.B.1    Kimia, B.B.2
  • 33
    • 51949097915 scopus 로고    scopus 로고
    • Optimised kd-trees for fast image descriptor matching
    • C. Silpa-Anan and R. Hartley. Optimised kd-trees for fast image descriptor matching. In CVPR, 2008.
    • (2008) CVPR
    • Silpa-Anan, C.1    Hartley, R.2
  • 34
    • 62249222499 scopus 로고    scopus 로고
    • Efficient visual search of videos cast as text retrieval
    • J. Sivic and A. Zisserman. Efficient visual search of videos cast as text retrieval. IEEE Trans. Pattern Anal. Mach. Intell., 31(4):591-606, 2009.
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell. , vol.31 , Issue.4 , pp. 591-606
    • Sivic, J.1    Zisserman, A.2
  • 35
    • 33749254973 scopus 로고    scopus 로고
    • Photo tourism: Exploring photo collections in 3D
    • N. Snavely, S. M. Seitz, and R. Szeliski. Photo tourism: exploring photo collections in 3D. ACM Trans. Graph., 25(3):835-846, 2006.
    • (2006) ACM Trans. Graph. , vol.25 , Issue.3 , pp. 835-846
    • Snavely, N.1    Seitz, S.M.2    Szeliski, R.3
  • 36
    • 54749092170 scopus 로고    scopus 로고
    • 80 million tiny images: A large data set for nonparametric object and scene recognition
    • A. B. 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.B.1    Fergus, R.2    Freeman, W.T.3
  • 37
    • 84871400243 scopus 로고    scopus 로고
    • Similar image search with a tiny bag-of-delegates representation
    • W. Tu, R. Pan, and J. Wang. Similar image search with a tiny bag-of-delegates representation. In ACM Multimedia, pages 885-888, 2012.
    • (2012) ACM Multimedia , pp. 885-888
    • Tu, W.1    Pan, R.2    Wang, J.3
  • 38
    • 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, pages 179-188, 2012.
    • (2012) ACM Multimedia , pp. 179-188
    • Wang, J.1    Li, S.2
  • 39
    • 84871370332 scopus 로고    scopus 로고
    • Scalable similar image search by joint indices
    • J. Wang, J. Wang, X.-S. Hua, and S. Li. Scalable similar image search by joint indices. In ACM Multimedia, pages 1325-1326, 2012.
    • (2012) ACM Multimedia , pp. 1325-1326
    • Wang, J.1    Wang, J.2    Hua, X.-S.3    Li, S.4
  • 40
    • 84866640887 scopus 로고    scopus 로고
    • Fast approximate k-means via cluster closures
    • J. Wang, J. Wang, Q. Ke, G. Zeng, and S. Li. Fast approximate k-means via cluster closures. In CVPR, pages 3037-3044, 2012.
    • (2012) CVPR , pp. 3037-3044
    • Wang, J.1    Wang, J.2    Ke, Q.3    Zeng, G.4    Li, S.5
  • 41
    • 84887428910 scopus 로고    scopus 로고
    • Order preserving hashing for approximate nearest neighbor search
    • J. Wang, J. Wang, N. Yu, and S. Li. Order preserving hashing for approximate nearest neighbor search. In ACM Multimedia, 2013.
    • (2013) ACM Multimedia
    • Wang, J.1    Wang, J.2    Yu, N.3    Li, S.4
  • 42
    • 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
  • 45
    • 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
  • 46
    • 0027188633 scopus 로고
    • Data structures and algorithms for nearest neighbor search in general metric spaces
    • P. N. Yianilos. Data structures and algorithms for nearest neighbor search in general metric spaces. In SODA, pages 311-321, 1993.
    • (1993) SODA , pp. 311-321
    • Yianilos, P.N.1


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