Search Results - "Random projection method"

Randomized Algorithms for Computing the Generalized Tensor SVD Based on the Tensor Product.

Authors: Ahmadi-Asl, Salman Rezaeian, Naeim Ugwu, Ugochukwu O.

Source: Communications on Applied Mathematics & Computation. Apr2026, Vol. 8 Issue 2, p605-621. 17p.

Hybrid dimensionality reduction techniques based on random projections: a literature review.

Authors: Adeniran, Usman A. Sanusi, Ridwan A. Adegoke, Nurudeen A. et al.

Source: Knowledge & Information Systems. 6/2/2026, Vol. 68 Issue 1, p1-29. 29p.

Subjects: Random projection method, Dimensional reduction algorithms, Machine learning, Fisher discriminant analysis, Principal components analysis, Scalability

基于随机映射的隐私保护聚类算法.

Alternate Title: Privacy-preserving algorithm for clustering high-dimensional data based on random mapping.

Authors: 何丽丽 张成林 曹明增 et al.

Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. Aug2025, Vol. 42 Issue 8, p2511-2517. 7p.

Random Projection-based Anomaly Detection (RPAD) Algorithm.

Authors: Cherkaoui, Ossama Anoun, Houda Maizate, Abderrahim

Source: International Journal of Information Technology & Decision Making. Mar2026, Vol. 25 Issue 3, p997-1022. 26p.

Optimal Sparse Sliced Inverse Regression via Random Projection.

Authors: Zhang, Jia Wu, Runxiong Chen, Xin

Source: Journal of Computational & Graphical Statistics. Apr-Jun2026, Vol. 35 Issue 2, p782-794. 13p.

Influential Observations Detection by Random Projection in High-Dimensional Multivariate Response Linear Model.

Authors: Liu, Chao Du, Bin Li, Jiaqi et al.

Source: Journal of Computational & Graphical Statistics. Apr-Jun2026, Vol. 35 Issue 2, p651-660. 10p.

Improved Test for High-Dimensional Mean Vectors and Covariance Matrices Using Random Projection.

Authors: Wu, Tung-Lung¹ (AUTHOR)

Source: Mathematics (2227-7390). Jul2025, Vol. 13 Issue 13, p2060. 23p.

Random Projection Methods Outperform Principal Component Analysis for Dimensionality Reduction in Single Cell RNA-Seq.

Authors: Abdelnaby, Mohamed Moussa, Marmar R.

Source: Journal of Computational Biology. May/Jun2026, Vol. 33 Issue 5/6, p660-679. 20p.

Exploring random projection techniques for face recognition: A survey of machine learning approaches.

Authors: Aitha, Rajesh Rajchandar, K.

Source: AIP Conference Proceedings. 2026, Vol. 3376 Issue 1, p1-9. 9p.

Prediction of drug target interaction based on under sampling strategy and random forest algorithm.

Authors: Chen, Feng Zhao, Zhigang Ren, Zheng et al.

Source: PLoS ONE. 3/6/2025, Vol. 20 Issue 3, p1-14. 14p.

Random and cyclic projection algorithms for strongly pseudomonotone variational inequalities.

Authors: Wang, Wanyu Ma, Beibei

Source: Journal of Inequalities & Applications. 2/13/2025, Vol. 2025 Issue 1, p1-25. 25p.

Boosting neural network performance for high dimensional data through random projections.

Authors: Anagnostou, Panagiotis Tasoulis, Sotiris K. Vrahatis, Aristidis G. et al.

Source: Pattern Recognition Letters. Jan2026, Vol. 199, p149-155. 7p.

Subjects: Random projection method, Data augmentation, Cell analysis, Dimensional reduction algorithms, Multivariate analysis, Artificial neural networks

Projection‐based estimators for matrix/tensor‐valued data.

Authors: Virta, Joni Nagy, Stanislav Nordhausen, Klaus

Source: Scandinavian Journal of Statistics. Dec2025, Vol. 52 Issue 4, p2152-2186. 35p.

Image hashing algorithm based on randomised log-Gabor filtering and sparse random projection for image copy detection.

Authors: Ling, Man Wang, Xianchuan Guan, Jinjin et al.

Source: Cyber-Physical Systems. Apr2026, p1-18. 18p. 9 Illustrations.

Gaussian random projections of convex cones: approximate kinematic formulae and applications.

Authors: Han, Qiyang Ren, Huachen

Source: Information & Inference: A Journal of the IMA. Mar2026, Vol. 15 Issue 1, p1-50. 50p.

Fast Fusion Clustering via Double Random Projection.

Authors: Wang, Hongni Li, Na Zhou, Yanqiu et al.

Source: Entropy. May2024, Vol. 26 Issue 5, p376. 16p.

A randomized block Krylov method for tensor train approximation.

Authors: Yu, Gaohang Feng, Jinhong Chen, Zhongming et al.

Source: Frontiers in Applied Mathematics & Statistics. 2026, p1-14. 14p.

Random Projections for Curves in High Dimensions.

Authors: Psarros, Ioannis Rohde, Dennis

Source: Discrete & Computational Geometry; Sep2025, Vol. 74 Issue 2, p374-398, 25p

Small Stochastic Data Compactification Concept Justified in the Entropy Basis.

Authors: Kovtun, Viacheslav Zaitseva, Elena Levashenko, Vitaly et al.

Source: Entropy. Dec2023, Vol. 25 Issue 12, p1567. 20p.

Random Projections for Linear Programming.

Authors: Vu, Ky Poirion, Pierre-Louis Liberti, Leo

Source: Mathematics of Operations Research (INFORMS). Nov2018, Vol. 43 Issue 4, p1051-1071. 21p.