메뉴 건너뛰기




Volumn 9, Issue 5, 2014, Pages

Fast k-NNG construction with GPU-based quick multi-select

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL PARAMETERS; ARTICLE; BRUTE FORCE SEARCH; DATA PROCESSING; GRAPHICS PROCESSING UNIT BASED QUICK MULTISELECT ALGORITHM; K NEAREST NEIGHBOR; LEARNING ALGORITHM; PROCESS OPTIMIZATION; QUALITY CONTROL; SYSTEM ANALYSIS; WARP VOTING FUNCTION; ALGORITHM; ARTIFICIAL INTELLIGENCE; BIOLOGY; CLUSTER ANALYSIS; PROCEDURES;

EID: 84901217952     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0092409     Document Type: Article
Times cited : (21)

References (35)
  • 1
    • 34547852236 scopus 로고    scopus 로고
    • Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows
    • DOI 10.1093/bioinformatics/btm220
    • Roberts A, McMillan L, Wang W, Parker J, Rusyn I, et al. (2007) Inferring missing genotypes in large snp panels using fast nearest-neighbor searches over sliding windows. Bioinformatics 23: i401-i407. (Pubitemid 47244426)
    • (2007) Bioinformatics , vol.23 , Issue.13
    • Roberts, A.1    McMillan, L.2    Wang, W.3    Parker, J.4    Rusyn, I.5    Threadgill, D.6
  • 3
    • 0003368441 scopus 로고    scopus 로고
    • Large-Scale Parallel Data Mining
    • Workshop on Large-Scale Parallel KDD Systems, SIGKDD, August 15, 1999, San Diego, CA, USA, revised papers, Springer
    • Zaki MJ, Ho CT, editors (2000) Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD, August 15, 1999, San Diego, CA, USA, revised papers, volume 1759 of Lecture Notes in Computer Science. Springer.
    • (2000) Lecture Notes in Computer Science , vol.1759
    • Zaki, M.J.1    Ho, C.T.2
  • 4
    • 62749193549 scopus 로고    scopus 로고
    • Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters
    • Maier M, Hein M, von Luxburg U (2009) Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters. Theor Comput Sci 410: 1749-1764.
    • (2009) Theor Comput Sci , vol.410 , pp. 1749-1764
    • Maier, M.1    Hein, M.2    Von Luxburg, U.3
  • 5
    • 77956555216 scopus 로고    scopus 로고
    • Large graph construction for scalable semisupervised learning
    • Liu W, He J, Chang SF (2010) Large graph construction for scalable semisupervised learning. In: ICML. pp. 679-686.
    • (2010) ICML , pp. 679-686
    • Liu, W.1    He, J.2    Chang, S.F.3
  • 6
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • DOI 10.1126/science.290.5500.2319
    • Tenenbaum JB, Silva V, Langford JC (2000) A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science 290: 2319-2323. (Pubitemid 32041577)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 10
    • 0028257199 scopus 로고
    • An optimal algorithm for approximate nearest neighbor searching
    • Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms. Philadelphia, PA, USA: Society for Industrial and Applied Mathematics, Available
    • Arya S, Mount DM, Netanyahu NS, Silverman R, Wu A (1994) An optimal algorithm for approximate nearest neighbor searching. In: Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms. Philadelphia, PA, USA: Society for Industrial and Applied Mathematics, SODA '94, pp. 573-582. Available: http://dl.acm.org/citation.cfm?id=314464.314652.
    • (1994) SODA '94 , pp. 573-582
    • Arya, S.1    Mount, D.M.2    Netanyahu, N.S.3    Silverman, R.4    Wu, A.5
  • 11
    • 57049122948 scopus 로고    scopus 로고
    • Random projection trees and low dimensional manifolds
    • Proceedings of the 40th annual ACM symposium on Theory of computing. New York, NY, USA: ACM
    • Dasgupta S, Freund Y (2008) Random projection trees and low dimensional manifolds. In: Proceedings of the 40th annual ACM symposium on Theory of computing. New York, NY, USA: ACM, STOC '08, pp. 537-546.
    • (2008) STOC '08 , pp. 537-546
    • Dasgupta, S.1    Freund, Y.2
  • 12
    • 4544259509 scopus 로고    scopus 로고
    • Locality-sensitive hashing scheme based on p-stable distributions
    • Proceedings of the twentieth annual symposium on Computational geometry. New York, NY, USA: ACM
    • Datar M, Immorlica N, Indyk P, Mirrokni VS (2004) Locality-sensitive hashing scheme based on p-stable distributions. In: Proceedings of the twentieth annual symposium on Computational geometry. New York, NY, USA: ACM, SCG '04, pp. 253-262.
    • (2004) SCG '04 , pp. 253-262
    • Datar, M.1    Immorlica, N.2    Indyk, P.3    Mirrokni, V.S.4
  • 13
    • 0018999905 scopus 로고
    • Multidimensional divide-and-conquer
    • Bentley JL (1980) Multidimensional divide-and-conquer. Commun ACM 23: 214-229.
    • (1980) Commun ACM , vol.23 , pp. 214-229
    • Bentley, J.L.1
  • 14
    • 0020937087 scopus 로고
    • Fast algorithms for the all nearest neighbors problem
    • Clarkson KL (1983) Fast algorithms for the all nearest neighbors problem. In: FOCS. pp. 226-232.
    • (1983) FOCS , pp. 226-232
    • Clarkson, K.L.1
  • 15
    • 0000662711 scopus 로고
    • An O(n log n) algorithm for the all-nearest-neighbors problem
    • Vaidya PM (1989) An O(n log n) algorithm for the all-nearest-neighbors problem. Discrete & Computational Geometry 4: 101-115.
    • (1989) Discrete & Computational Geometry , vol.4 , pp. 101-115
    • Vaidya, P.M.1
  • 16
    • 33746084482 scopus 로고    scopus 로고
    • Practical construction of k-nearest neighbor graphs in metric spaces
    • Paredes R, Chávez E, Figueroa K, Navarro G (2006) Practical construction of k-nearest neighbor graphs in metric spaces. In: WEA. pp. 85-97.
    • (2006) WEA , pp. 85-97
    • Paredes, R.1    Chávez, E.2    Figueroa, K.3    Navarro, G.4
  • 17
    • 0032341649 scopus 로고    scopus 로고
    • Approximate nearest neighbor queries revisited
    • Chan TM (1998) Approximate nearest neighbor queries revisited. Discrete & Computational Geometry 20: 359-373.
    • (1998) Discrete & Computational Geometry , vol.20 , pp. 359-373
    • Chan, T.M.1
  • 18
    • 77952740883 scopus 로고    scopus 로고
    • Fast construction of k-nearest neighbor graphs for point clouds
    • Connor M, Kumar P (2010) Fast construction of k-nearest neighbor graphs for point clouds. IEEE Trans Vis Comput Graph 16: 599-608.
    • (2010) IEEE Trans Vis Comput Graph , vol.16 , pp. 599-608
    • Connor, M.1    Kumar, P.2
  • 19
    • 70449440398 scopus 로고    scopus 로고
    • Fast approximate k-nn graph construction for high dimensional data via recursive lanczos bisection
    • Chen J, ren Fang H, Saad Y (2009) Fast approximate k-nn graph construction for high dimensional data via recursive lanczos bisection. Journal of Machine Learning Research 10: 1989-2012.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 1989-2012
    • Chen, J.1    Ren Fang, H.2    Saad, Y.3
  • 20
    • 84866714838 scopus 로고    scopus 로고
    • Scalable k-nn graph construction for visual descriptors
    • Wang J, Wang J, Zeng G, Tu Z, Gan R, et al. (2012) Scalable k-nn graph construction for visual descriptors. In: CVPR. pp. 1106-1113.
    • (2012) CVPR , pp. 1106-1113
    • Wang, J.1    Wang, J.2    Zeng, G.3    Tu, Z.4    Gan, R.5
  • 21
    • 84862193372 scopus 로고    scopus 로고
    • Efficient k-nearest neighbor graph construction for generic similarity measures
    • Proceedings of the 20th international conference on World Wide Web. New York, NY, USA: ACM, doi:10.1145/1963405.1963487. Available
    • Dong W, Moses C, Li K (2011) Efficient k-nearest neighbor graph construction for generic similarity measures. In: Proceedings of the 20th international conference on World Wide Web. New York, NY, USA: ACM, WWW '11, pp. 577-586. doi:10.1145/1963405.1963487. Available: http://doi.acm.org/10.1145/ 1963405.1963487.
    • (2011) WWW '11 , pp. 577-586
    • Dong, W.1    Moses, C.2    Li, K.3
  • 22
    • 24644489770 scopus 로고    scopus 로고
    • Nearest neighbors in high-dimensional spaces
    • Goodman JE, O'Rourke J, editors, Boca Raton, FL: CRC Press LLC. 2nd edition
    • Indyk P (2004) Nearest neighbors in high-dimensional spaces. In: Goodman JE, O'Rourke J, editors, Handbook of Discrete and Computational Geometry, Boca Raton, FL: CRC Press LLC. 2nd edition.
    • (2004) Handbook of Discrete and Computational Geometry
    • Indyk, P.1
  • 23
    • 78651079861 scopus 로고    scopus 로고
    • K-nearest neighbor search: Fast gpu-based implementations and application to high-dimensional feature matching
    • Garcia V, Debreuve E, Nielsen F, Barlaud M (2010) K-nearest neighbor search: Fast gpu-based implementations and application to high-dimensional feature matching. In: ICIP. pp. 3757-3760.
    • (2010) ICIP , pp. 3757-3760
    • Garcia, V.1    Debreuve, E.2    Nielsen, F.3    Barlaud, M.4
  • 24
    • 84865485151 scopus 로고    scopus 로고
    • Gpu-fs-knn: A software tool for fast and scalable knn computation using gpus
    • Arefin AS, Riveros C, Berretta R, Moscato P (2012) Gpu-fs-knn: A software tool for fast and scalable knn computation using gpus. PLoS ONE 7: e44000.
    • (2012) PLoS ONE , vol.7
    • Arefin, A.S.1    Riveros, C.2    Berretta, R.3    Moscato, P.4
  • 26
    • 84901230650 scopus 로고    scopus 로고
    • Solving k-nearest vector problem on multiple graphics processors
    • abs/0906.0231
    • Kato K, Hosino T (2009) Solving k-nearest vector problem on multiple graphics processors. CoRR abs/0906.0231.
    • (2009) CoRR
    • Kato, K.1    Hosino, T.2
  • 31
    • 84901230651 scopus 로고    scopus 로고
    • Available
    • Baxter S (2011). Mgpu select. Available: http://www.moderngpu.com/select/ mgpuselect.html.
    • (2011) Mgpu Select
    • Baxter, S.1
  • 32
    • 80052472590 scopus 로고    scopus 로고
    • Randomized selection on the gpu
    • Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics. New York, NY, USA: ACM, doi:10.1145/2018323.2018338. Available
    • Monroe L, Wendelberger J, Michalak S (2011) Randomized selection on the gpu. In: Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics. New York, NY, USA: ACM, HPG '11, pp. 89-98. doi:10.1145/2018323.2018338. Available: http://doi.acm.org/10.1145/2018323.2018338.
    • (2011) HPG '11 , pp. 89-98
    • Monroe, L.1    Wendelberger, J.2    Michalak, S.3
  • 34
    • 78650745912 scopus 로고    scopus 로고
    • Gpu-quicksort: A practical quicksort algorithm for graphics processors
    • Cederman D, Tsigas P (2010) Gpu-quicksort: A practical quicksort algorithm for graphics processors. J Exp Algorithmics 14: 4:1.4-4:1.24.
    • (2010) J Exp Algorithmics , vol.14
    • Cederman, D.1    Tsigas, P.2
  • 35
    • 70350771131 scopus 로고    scopus 로고
    • Benchmarking gpus to tune dense linear algebra
    • Proceedings of the 2008 ACM/IEEE conference on Supercomputing. Piscataway, NJ, USA: IEEE Press, Available
    • Volkov V, Demmel JW (2008) Benchmarking gpus to tune dense linear algebra. In: Proceedings of the 2008 ACM/IEEE conference on Supercomputing. Piscataway, NJ, USA: IEEE Press, SC '08, pp. 31:1-31:11. Available: http://dl.acm.org/citation.cfm?id=1413370.1413402.
    • (2008) SC '08
    • Volkov, V.1    Demmel, J.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.