메뉴 건너뛰기




Volumn 36, Issue 11, 2014, Pages 2227-2240

Scalable nearest neighbor algorithms for high dimensional data

Author keywords

algorithm configuration; approximate search; big data; Nearest neighbor search

Indexed keywords

ALGORITHM CONFIGURATIONS; APPROXIMATE SEARCH; HIGH DIMENSIONAL DATA; NEAREST NEIGHBOR ALGORITHM; NEAREST NEIGHBOR SEARCH;

EID: 84906339516     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2014.2321376     Document Type: Article
Times cited : (1311)

References (65)
  • 1
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
    • (2004) Int. J. Comput. Vis. , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 3
    • 0345414182 scopus 로고    scopus 로고
    • Video Google: A text retrieval approach to object matching in videos
    • J. Sivic and A. Zisserman, "Video Google: A text retrieval approach to object matching in videos," in Proc. IEEE 9th Int. Conf. Comput. Vis., 2003, pp. 1470-1477.
    • (2003) Proc. IEEE 9th Int. Conf. Comput. Vis. , pp. 1470-1477
    • Sivic, J.1    Zisserman, A.2
  • 4
    • 36949030203 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., vol. 26, p. 4, 2007.
    • (2007) ACM Trans. Graph. , vol.26 , pp. 4
    • Hays, J.1    Efros, A.A.2
  • 6
    • 24644502276 scopus 로고    scopus 로고
    • Shape matching and object recognition using low distortion correspondences
    • A. C. Berg, T. L. Berg, and J. Malik, "Shape matching and object recognition using low distortion correspondences," in Proc. IEEE CS Conf. Comput. Vis. Pattern Recog., 2005, vol. 1, pp. 26-33.
    • (2005) Proc. IEEE CS Conf. Comput. Vis. Pattern Recog. , vol.1 , pp. 26-33
    • Berg, A.C.1    Berg, T.L.2    Malik, J.3
  • 7
    • 54749092170 scopus 로고    scopus 로고
    • 80 million tiny images: A large data set for nonparametric object and scene recognition
    • Nov.
    • 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., vol. 30, no. 11, pp. 1958-1970, Nov. 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
  • 9
    • 0016557674 scopus 로고
    • Multidimensional binary search trees used for associative searching
    • J. L. Bentley, "Multidimensional binary search trees used for associative searching," Commun. ACM, vol. 18, no. 9, pp. 509-517, 1975.
    • (1975) Commun. ACM , vol.18 , Issue.9 , pp. 509-517
    • Bentley, J.L.1
  • 10
    • 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," ACM Trans. Math. Softw., vol. 3, no. 3, pp. 209-226, 1977.
    • (1977) ACM Trans. Math. Softw. , vol.3 , Issue.3 , pp. 209-226
    • Friedman, J.H.1    Bentley, J.L.2    Finkel, R.A.3
  • 11
    • 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, vol. 45, no. 6, pp. 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
  • 12
    • 0030715166 scopus 로고    scopus 로고
    • Shape indexing using approximate nearest-neighbour search in high-dimensional spaces
    • J. S. Beis and D. G. Lowe, "Shape indexing using approximate nearest-neighbour search in high-dimensional spaces," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 1997, pp. 1000-1006.
    • (1997) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 1000-1006
    • Beis, J.S.1    Lowe, D.G.2
  • 14
    • 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 Proc. Int. Conf. Computer Vis. Theory Appl., 2009, pp. 331-340.
    • (2009) Proc. Int. Conf. Computer Vis. Theory Appl. , pp. 331-340
    • Muja, M.1    Lowe, D.G.2
  • 15
    • 0025796458 scopus 로고
    • Refinements to nearest-neighbor searching in kdimensional trees
    • R. F. Sproull, "Refinements to nearest-neighbor searching in kdimensional trees," Algorithmica, vol. 6, no. 1, pp. 579-589, 1991.
    • (1991) Algorithmica , vol.6 , Issue.1 , pp. 579-589
    • Sproull, R.F.1
  • 18
    • 0016533974 scopus 로고
    • A branch and bound algorithm for computing k-nearest neighbors
    • Jul.
    • K. Fukunaga and P. M. Narendra, "A branch and bound algorithm for computing k-nearest neighbors," IEEE Trans. Comput., vol. C-24, no. 7, pp. 750-753, Jul. 1975.
    • (1975) IEEE Trans. Comput. , vol.C-24 , Issue.7 , pp. 750-753
    • Fukunaga, K.1    Narendra, P.M.2
  • 20
    • 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 Proc. 16th Conf. Uncertainity Artif. Intell., 2000, pp. 397-405.
    • (2000) Proc. 16th Conf. Uncertainity Artif. Intell. , pp. 397-405
    • Moore, A.W.1
  • 21
    • 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 Proc. ACM-SIAM Symp. Discrete Algorithms, 1993, pp. 311-321.
    • (1993) Proc. ACM-SIAM Symp. Discrete Algorithms , pp. 311-321
    • Yianilos, P.N.1
  • 25
  • 27
  • 29
    • 37549058056 scopus 로고    scopus 로고
    • Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
    • A. Andoni and P. Indyk, "Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions," Commun. ACM, vol. 51, no. 1, pp. 117-122, 2008.
    • (2008) Commun. ACM , vol.51 , Issue.1 , pp. 117-122
    • Andoni, A.1    Indyk, P.2
  • 34
    • 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 Proc. IEEE 12th Int. Conf. Comput. Vis., 2009, pp. 2130-2137.
    • (2009) Proc. IEEE 12th Int. Conf. Comput. Vis. , pp. 2130-2137
    • Kulis, B.1    Grauman, K.2
  • 35
    • 84858740468 scopus 로고    scopus 로고
    • Learning to hash with binary reconstructive embeddings
    • B. Kulis and T. Darrell, "Learning to hash with binary reconstructive embeddings," in Proc. 23rd Adv. Neural Inf. Process. Syst., 2009, vol. 22, pp. 1042-1050.
    • (2009) Proc. 23rd Adv. Neural Inf. Process. Syst. , vol.22 , pp. 1042-1050
    • Kulis, B.1    Darrell, T.2
  • 36
    • 79954525255 scopus 로고    scopus 로고
    • Locality-sensitive binary codes from shift-invariant kernels
    • M. Raginsky and S. Lazebnik, "Locality-sensitive binary codes from shift-invariant kernels," in Proc. Adv. Neural Inf. Process. Syst., 2009, vol. 22, pp. 1509-1517.
    • (2009) Proc. Adv. Neural Inf. Process. Syst. , vol.22 , pp. 1509-1517
    • Raginsky, M.1    Lazebnik, S.2
  • 43
    • 0000238336 scopus 로고
    • A simplex method for function minimization
    • J. A. Nelder and R. Mead, "A simplex method for function minimization," Comput. J., vol. 7, no. 4, pp. 308-313, 1965.
    • (1965) Comput. J. , vol.7 , Issue.4 , pp. 308-313
    • Nelder, J.A.1    Mead, R.2
  • 45
    • 73649115991 scopus 로고    scopus 로고
    • ParamILS: An automatic algorithm configuration framework
    • F. Hutter, H. H. Hoos, and K. Leyton-Brown, "ParamILS: An automatic algorithm configuration framework," J. Artif. Intell. Res., vol. 36, pp. 267-306, 2009.
    • (2009) J. Artif. Intell. Res. , vol.36 , pp. 267-306
    • Hutter, F.1    Hoos, H.H.2    Leyton-Brown, K.3
  • 46
    • 84857855190 scopus 로고    scopus 로고
    • Random search for hyper-parameter optimization
    • J. Bergstra and Y. Bengio, "Random search for hyper-parameter optimization," J. Mach. Learn. Res., vol. 13, pp. 281-305, 2012.
    • (2012) J. Mach. Learn. Res. , vol.13 , pp. 281-305
    • Bergstra, J.1    Bengio, Y.2
  • 54
    • 50649091097 scopus 로고    scopus 로고
    • Improving descriptors for fast tree matching by optimal linear projection
    • K. Mikolajczyk and J. Matas, "Improving descriptors for fast tree matching by optimal linear projection," in Proc. IEEE 11th Int. Conf. Comput. Vis., 2007, pp. 1-8.
    • (2007) Proc. IEEE 11th Int. Conf. Comput. Vis. , pp. 1-8
    • Mikolajczyk, K.1    Matas, J.2
  • 56
    • 70849126253 scopus 로고    scopus 로고
    • The unreasonable effectiveness of data
    • Mar./Apr.
    • A. Halevy, P. Norvig, and F. Pereira, "The unreasonable effectiveness of data," IEEE Intell. Syst., vol. 24, no. 2, pp. 8-12, Mar./Apr. 2009.
    • (2009) IEEE Intell. Syst. , vol.24 , Issue.2 , pp. 8-12
    • Halevy, A.1    Norvig, P.2    Pereira, F.3
  • 58
    • 84898449815 scopus 로고    scopus 로고
    • Distributed Kd-trees for retrieval from very large image collections
    • DuDundee, U.K.
    • M. Aly, M. Munich, and P. Perona, "Distributed Kd-trees for retrieval from very large image collections," presented at the British Mach. Vis. Conf., DuDundee, U.K., 2011.
    • (2011) British Mach. Vis. Conf.
    • Aly, M.1    Munich, M.2    Perona, P.3
  • 64
    • 77953218614 scopus 로고    scopus 로고
    • Better matching with fewer features: The selection of useful features in large database recognition problems
    • P. Turcot and D.G. Lowe, "Better matching with fewer features: The selection of useful features in large database recognition problems," in Proc. Comput. Vis. Workshops, 2009, pp. 2109-2116.
    • (2009) Proc. Comput. Vis. Workshops , pp. 2109-2116
    • Turcot, P.1    Lowe, D.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.