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TENENBAUM J B, DE SILVA V, LANGFORD J C. A global geometric framework for nonlinear dimensionality reduction[J]. Science, 2000, 290(5): 2319-2323.
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[2] |
王自强,钱旭,孔敏. 流形学习算法综述[J]. 计算机工程与应用,2008,44(35): 9-12.WANG Z Q, QIAN X, KONG M. Survey on manifold learning algorithms[J]. Computer Engineering and Applications, 2008, 44(35): 9-12.
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PLESS R, SOUVENIR R. A survey of manifold learning for images[J]. IPSJ Transactions on Computer Vision & Applications, 2009, 1(1): 83-94.
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IZENMAN A J. Introduction to manifold learning[J]. Wiley Interdisciplinary Reviews Computational Statistics, 2012, 4(5):439-446.
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曾宪华, 罗四维. 全局保持的流形学习算法对比研究[J]. 计算机工程与应用, 2010, 46(15): 1-6.ZENG X H, LUO S W. Contrasting research of global preserving manifold learning algorithms[J]. Computer Engineering and Applications, 2010, 46(15): 1-6.
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尹宏伟,李凡长. 谱机器学习研究综述[J]. 计算机科学与探索,2015,9(12):1409-1419.
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任磊,杜一,马帅,等.大数据可视分析综述[J]. 软件学报, 2014, 25(9): 1909-1936.
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李毅. 基于Hadoop平台的局部线性嵌入算法研究[D]. 华南理工大学,2011.
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卞云龙. 基于云计算平台的大规模流形学习算法研究[D]. 南京理工大学,2012.
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薛永坚, 倪志伟. 基于MapReduce的大规模数据集流形学习降维研究[J]. 系统工程理论与实践,2014,34(S): 151-157.
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刘勇. 头部姿态估计的监督流形学习研究及其并行化扩展[D]. 厦门大学,2013
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GU L, LI H. Memory or time: Performance evaluation for iterative operation on hadoop and spark [C]// International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing. Zhangjiajie, China: IEEE Press, 2013: 721-727.
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DATAR M, IMMORLICA N, INDYK P, et al. Locality-sensitive hashing scheme based on p-stable distributions [C]// Proceedings the of 20th Annual symposium on Computational Geometry. New York: ACM Press, 2004: 253-262.
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DE SILVA V, TENENBAUM J B. Global versus local methods in nonlinear dimensionality reduction [C] // Proceedings of the Advances in Neural Information Processing Systems. Cambridge: IEEE Press, 2003, 15: 1959-1966.
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张瑞杰,郭志刚, 李弼程,等. 基于E2LSH-MKL的视觉语义概念检测[J]. 自动化学报,2012,38(10): 1671-1678.ZHANG R J, GUO Z G, LI B C, et al. A visual semantic concept detection algorithm based on E2LSH-MKL[J]. Acta Automatica Sinica, 2012, 38(10): 1671-1678.
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王洪峰,刘辛. 基于位置敏感哈希的网络视频重复检测[J]. 计算机应用研究,2012,29(5): 1954-1958.WANG H F, LIU X. Near-duplicate Web video detection based on locality sensitive hashing[J]. Application Research of Computers, 2012,29(5): 1954-1958.
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[17] |
INDYK P. Stable distributions, pseudorandom generators, embeddings, and data stream computation [J]. Journal of the ACM, 2006, 53(3): 307-323.
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[18] |
SPARKS E R, TALWALKAR A, SMITH V, et al. MLI: An API for distributed machine learning [C]// Proceedings of the 13th International Conference on Data Mining. Dallas: IEEE Computer Society, 2013:1187-1192.
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[19] |
ZAHARIA M, CHOWDHURY M, DAS T, et al. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing [C]// Proceedings of the USENIX Conference on Networked Systems Design and Implementation. Berkeley: ACM Press, 2012, 70(2):141-146.
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[20] |
ZAHARIA M, CHOWDHURY M, FRANKLIN M J, et al. Spark: Cluster computing with working sets [J]. USENIX Conference on Hot Topics in Cloud Computing, 2010, 15(1):1765-1773.)
|
[1] |
TENENBAUM J B, DE SILVA V, LANGFORD J C. A global geometric framework for nonlinear dimensionality reduction[J]. Science, 2000, 290(5): 2319-2323.
|
[2] |
王自强,钱旭,孔敏. 流形学习算法综述[J]. 计算机工程与应用,2008,44(35): 9-12.WANG Z Q, QIAN X, KONG M. Survey on manifold learning algorithms[J]. Computer Engineering and Applications, 2008, 44(35): 9-12.
|
[3] |
PLESS R, SOUVENIR R. A survey of manifold learning for images[J]. IPSJ Transactions on Computer Vision & Applications, 2009, 1(1): 83-94.
|
[4] |
IZENMAN A J. Introduction to manifold learning[J]. Wiley Interdisciplinary Reviews Computational Statistics, 2012, 4(5):439-446.
|
[5] |
曾宪华, 罗四维. 全局保持的流形学习算法对比研究[J]. 计算机工程与应用, 2010, 46(15): 1-6.ZENG X H, LUO S W. Contrasting research of global preserving manifold learning algorithms[J]. Computer Engineering and Applications, 2010, 46(15): 1-6.
|
[6] |
尹宏伟,李凡长. 谱机器学习研究综述[J]. 计算机科学与探索,2015,9(12):1409-1419.
|
[7] |
任磊,杜一,马帅,等.大数据可视分析综述[J]. 软件学报, 2014, 25(9): 1909-1936.
|
[8] |
李毅. 基于Hadoop平台的局部线性嵌入算法研究[D]. 华南理工大学,2011.
|
[9] |
卞云龙. 基于云计算平台的大规模流形学习算法研究[D]. 南京理工大学,2012.
|
[10] |
薛永坚, 倪志伟. 基于MapReduce的大规模数据集流形学习降维研究[J]. 系统工程理论与实践,2014,34(S): 151-157.
|
[11] |
刘勇. 头部姿态估计的监督流形学习研究及其并行化扩展[D]. 厦门大学,2013
|
[12] |
GU L, LI H. Memory or time: Performance evaluation for iterative operation on hadoop and spark [C]// International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing. Zhangjiajie, China: IEEE Press, 2013: 721-727.
|
[13] |
DATAR M, IMMORLICA N, INDYK P, et al. Locality-sensitive hashing scheme based on p-stable distributions [C]// Proceedings the of 20th Annual symposium on Computational Geometry. New York: ACM Press, 2004: 253-262.
|
[14] |
DE SILVA V, TENENBAUM J B. Global versus local methods in nonlinear dimensionality reduction [C] // Proceedings of the Advances in Neural Information Processing Systems. Cambridge: IEEE Press, 2003, 15: 1959-1966.
|
[15] |
张瑞杰,郭志刚, 李弼程,等. 基于E2LSH-MKL的视觉语义概念检测[J]. 自动化学报,2012,38(10): 1671-1678.ZHANG R J, GUO Z G, LI B C, et al. A visual semantic concept detection algorithm based on E2LSH-MKL[J]. Acta Automatica Sinica, 2012, 38(10): 1671-1678.
|
[16] |
王洪峰,刘辛. 基于位置敏感哈希的网络视频重复检测[J]. 计算机应用研究,2012,29(5): 1954-1958.WANG H F, LIU X. Near-duplicate Web video detection based on locality sensitive hashing[J]. Application Research of Computers, 2012,29(5): 1954-1958.
|
[17] |
INDYK P. Stable distributions, pseudorandom generators, embeddings, and data stream computation [J]. Journal of the ACM, 2006, 53(3): 307-323.
|
[18] |
SPARKS E R, TALWALKAR A, SMITH V, et al. MLI: An API for distributed machine learning [C]// Proceedings of the 13th International Conference on Data Mining. Dallas: IEEE Computer Society, 2013:1187-1192.
|
[19] |
ZAHARIA M, CHOWDHURY M, DAS T, et al. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing [C]// Proceedings of the USENIX Conference on Networked Systems Design and Implementation. Berkeley: ACM Press, 2012, 70(2):141-146.
|
[20] |
ZAHARIA M, CHOWDHURY M, FRANKLIN M J, et al. Spark: Cluster computing with working sets [J]. USENIX Conference on Hot Topics in Cloud Computing, 2010, 15(1):1765-1773.)
|