[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] |
PLESS R, SOUVENIR R. A survey of manifold learning for images [J]. IPSJ Transactions on Computer Vision & Applications, 2009, 1(1):83-94.
|
[3] |
SARVENIAZI A. An actual survey of dimensionality reduction [J]. American Journal of Computational Mathematics, 2014, 4: 55-72.
|
[4] |
SINGH K P, BHAI R, MISHRA V, etal.Localization in wireless sensor network using LLE-ISOMAP algorithm[C]// Proceedings of IEEE Region 10 Conference. Penang, Malaysia: IEEE, 2017:393-397.
|
[5] |
RAJAGURU H, KUMAR PRABHAKAR S. Performance analysis of local linear embedding and Hessian LLE with hybrid ABC-PSO for epilepsy classification from EEG signals[C]//Proceedings of International Conference on Inventive Research in Computing Applications. Coimbatore, India: IEEE, 2018:1084-1088.
|
[6] |
YEH T T, CHEN T Y , CHEN Y C , et al. Efficient parallel algorithm for nonlinear dimensionality reduction on GPU[C]// Proceedings of International Conference on Granular Computing. San Jose, USA:IEEE, 2010:592-597.
|
[7] |
LI W, ZHANG L, DU B. GPU parallel implementation of isometric mapping for hyperspectral classification [J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(9): 1532-1536.
|
[8] |
李毅. 基于Hadoop平台的局部线性嵌入算法研究[D]. 广州,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,南京理工大学,2012.
|
[10] |
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,厦门大学,2013.
|
[11] |
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, 34:151-157.XUE Yongjian, NI Zhiwei.Research of large scale manifold learning based on MapReduce[J]. Systems Engineering - Theory & Practice, 2014, 34: 151-157.
|
[12] |
CAMPANA-OLIVO R, MANIAN V B. Parallel implementation of nonlinear dimensionality reduction methods applied in object segmentation using CUDA in GPU[C]// Proceedings of the International Society for Optical Engineering. SPIE, 2011:289-293.
|
[13] |
MOUSTAFA M, EBEID H M, HELMY A, et al. Parallel implementation of super-resolution based neighbor embedding using GPU [C]// Proceedings of the International Conference on Advanced Intelligent Systems and Informatics. Springer, 2016: 628-638.
|
[14] |
SAMUDRALA S K, ZOLA J, ALURU S, et al. Parallel framework for dimensionality reduction of large-scale datasets [J]. Scientific Programming, 2015, No.1: 1-12.
|
[15] |
SCHOENEMAN F, ZOLA J. Scalable manifold learning for big data with Apache Spark [C]// Proceedings of IEEE International Conference on Big Data. Seattle, USA: IEEE, 2018:272-281.
|
[16] |
WANG YH, GAO Y, XU C. Manifold learning method for large scale dataset based on gradient descent [C]//Proceedings of 3rd International Conference on Multimedia Technology.Springer, 2013, 84:1187-1194.
|
[17] |
ZHOU Y. A block Chebyshev-Davidson method with inner-outer restart for large eigenvalue problems[J]. Journal of Computational Physics, 2010, 229(24):9188-9200.
|
[18] |
SADKANE M, SIDJE R B. Implementation of a variable block Davidson method with deflation for solving large sparse eigenproblems[J]. Numerical Algorithms, 1999, 20:217-240
|
[19] |
王顺绪,戴华.求解大型矩阵特征值问题的并行块Davidson方法[J].南京航空航天大学学报,2007,39(6): 814-818.WANG Shunxu, DAI Hua. Parallel Block Davidson Method for Solving Large Scale Eigenvalue Problem[J]. Journal of Nanjing University of Aeronautics & Astronautics,2007,39(6): 814-818.
|
[20] |
DATAR M, IMMORLICA N, INDYK P, et al. Locality-sensitive hashing scheme based on p-stable distributions [C] // Proceedings 20th of Annual symposium on Computational Geometry. New York, USA: ACM, 2004: 253-262.
|
[21] |
SAUL L K, ROWEIS S.An introduction to locally linear embedding [EB/OL].Journal of Machine Learning Research, [2019-8-30] http://www.cs.toronto.edu/~roweis/lle,2001.)
|
[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] |
PLESS R, SOUVENIR R. A survey of manifold learning for images [J]. IPSJ Transactions on Computer Vision & Applications, 2009, 1(1):83-94.
|
[3] |
SARVENIAZI A. An actual survey of dimensionality reduction [J]. American Journal of Computational Mathematics, 2014, 4: 55-72.
|
[4] |
SINGH K P, BHAI R, MISHRA V, etal.Localization in wireless sensor network using LLE-ISOMAP algorithm[C]// Proceedings of IEEE Region 10 Conference. Penang, Malaysia: IEEE, 2017:393-397.
|
[5] |
RAJAGURU H, KUMAR PRABHAKAR S. Performance analysis of local linear embedding and Hessian LLE with hybrid ABC-PSO for epilepsy classification from EEG signals[C]//Proceedings of International Conference on Inventive Research in Computing Applications. Coimbatore, India: IEEE, 2018:1084-1088.
|
[6] |
YEH T T, CHEN T Y , CHEN Y C , et al. Efficient parallel algorithm for nonlinear dimensionality reduction on GPU[C]// Proceedings of International Conference on Granular Computing. San Jose, USA:IEEE, 2010:592-597.
|
[7] |
LI W, ZHANG L, DU B. GPU parallel implementation of isometric mapping for hyperspectral classification [J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(9): 1532-1536.
|
[8] |
李毅. 基于Hadoop平台的局部线性嵌入算法研究[D]. 广州,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,南京理工大学,2012.
|
[10] |
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,厦门大学,2013.
|
[11] |
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, 34:151-157.XUE Yongjian, NI Zhiwei.Research of large scale manifold learning based on MapReduce[J]. Systems Engineering - Theory & Practice, 2014, 34: 151-157.
|
[12] |
CAMPANA-OLIVO R, MANIAN V B. Parallel implementation of nonlinear dimensionality reduction methods applied in object segmentation using CUDA in GPU[C]// Proceedings of the International Society for Optical Engineering. SPIE, 2011:289-293.
|
[13] |
MOUSTAFA M, EBEID H M, HELMY A, et al. Parallel implementation of super-resolution based neighbor embedding using GPU [C]// Proceedings of the International Conference on Advanced Intelligent Systems and Informatics. Springer, 2016: 628-638.
|
[14] |
SAMUDRALA S K, ZOLA J, ALURU S, et al. Parallel framework for dimensionality reduction of large-scale datasets [J]. Scientific Programming, 2015, No.1: 1-12.
|
[15] |
SCHOENEMAN F, ZOLA J. Scalable manifold learning for big data with Apache Spark [C]// Proceedings of IEEE International Conference on Big Data. Seattle, USA: IEEE, 2018:272-281.
|
[16] |
WANG YH, GAO Y, XU C. Manifold learning method for large scale dataset based on gradient descent [C]//Proceedings of 3rd International Conference on Multimedia Technology.Springer, 2013, 84:1187-1194.
|
[17] |
ZHOU Y. A block Chebyshev-Davidson method with inner-outer restart for large eigenvalue problems[J]. Journal of Computational Physics, 2010, 229(24):9188-9200.
|
[18] |
SADKANE M, SIDJE R B. Implementation of a variable block Davidson method with deflation for solving large sparse eigenproblems[J]. Numerical Algorithms, 1999, 20:217-240
|
[19] |
王顺绪,戴华.求解大型矩阵特征值问题的并行块Davidson方法[J].南京航空航天大学学报,2007,39(6): 814-818.WANG Shunxu, DAI Hua. Parallel Block Davidson Method for Solving Large Scale Eigenvalue Problem[J]. Journal of Nanjing University of Aeronautics & Astronautics,2007,39(6): 814-818.
|
[20] |
DATAR M, IMMORLICA N, INDYK P, et al. Locality-sensitive hashing scheme based on p-stable distributions [C] // Proceedings 20th of Annual symposium on Computational Geometry. New York, USA: ACM, 2004: 253-262.
|
[21] |
SAUL L K, ROWEIS S.An introduction to locally linear embedding [EB/OL].Journal of Machine Learning Research, [2019-8-30] http://www.cs.toronto.edu/~roweis/lle,2001.)
|