• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 153 matches

• 2023
• 
  Alberto Franzin:
  Empirical analysis of stochastic local search behaviour: connecting structure, components and landscape. 4OR 21(1): 179-180 (2023)
• 
  Víctor J. López-Madrona, Samuel Medina Villalon, Jayabal Velmurugan, Aurore Semeux-Bernier, Elodie Garnier, Jean-Michel Badier, Daniele Schön, Christian G. Bénar:
  Reconstruction and localization of auditory sources from intracerebral SEEG using independent component analysis. NeuroImage 269: 119905 (2023)
• 2022
• 
  Zahra Tabanfar, Farnaz Ghassemi, Mohammad Hassan Moradi:
  Estimating brain periodic sources activities in steady-state visual evoked potential using local fourier independent component analysis. Biomed. Signal Process. Control. 71(Part): 103162 (2022)
• 
  Danyang Wu, Han Wang, Zhanxuan Hu, Feiping Nie:
  Improved deep metric learning with local neighborhood component analysis. Inf. Sci. 617: 165-176 (2022)
• 
  Qingyang Tan, Ling-Xiao Zhang, Jie Yang, Yu-Kun Lai, Lin Gao:
  Variational Autoencoders for Localized Mesh Deformation Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6297-6310 (2022)
• 
  Dingzhong Feng, Shanyu He, Zihao Zhou, Ye Zhang:
  A Finger Vein Feature Extraction Method Incorporating Principal Component Analysis and Locality Preserving Projections. Sensors 22(10): 3691 (2022)
• 
  Kangkang Xu, Bi Fan, Haidong Yang, Luoke Hu, Wenjing Shen:
  Locally Weighted Principal Component Analysis-Based Multimode Modeling for Complex Distributed Parameter Systems. IEEE Trans. Cybern. 52(10): 10504-10514 (2022)
• 
  Yingxu Wang, Tianjun Li, Long Chen, Yufeng Yu, Yin-Ping Zhao, Jin Zhou:
  Tensor-Based Robust Principal Component Analysis With Locality Preserving Graph and Frontal Slice Sparsity for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022)
• 2021
• 
  Ning Chu, Yue Ning, Liang Yu, Qin Liu, Qian Huang, Dazhuan Wu, Peng Hou:
  Acoustic Source Localization in a Reverberant Environment Based on Sound Field Morphological Component Analysis and Alternating Direction Method of Multipliers. IEEE Trans. Instrum. Meas. 70: 1-13 (2021)
• 
  Michael Kögel, Sebastian Brand, Christian Große, Kristof J. P. Jacobs, Ingrid De Wolf, Frank Altmann:
  Thermal source separation for 3D defect localization using independent component analysis (ICA) from time-resolved temperature response (TRTR). CASE 2021: 395-400
• 
  Jingjing Wang, Xianqing Wang, Jishen Peng, Jun Gyu Hwang, Joon Goo Park:
  Indoor Fingerprinting Localization Based on Fine-grained CSI using Principal Component Analysis. ICUFN 2021: 322-327
• 2020
• 
  Fei He, Zhiyan Zhang:
  Nonlinear Fault Detection of Batch Processes Using Functional Local Kernel Principal Component Analysis. IEEE Access 8: 117513-117527 (2020)
• 
  Yongzhen Du, Honggeng Yang, Xiaoyang Ma:
  Multi-Harmonic Source Localization Based on Sparse Component Analysis and Minimum Conditional Entropy. Entropy 22(1): 65 (2020)
• 
  Lanmei Wang, Yao Wang, Guibao Wang, Jianke Jia:
  Near-field sound source localization using principal component analysis-multi-output support vector regression. Int. J. Distributed Sens. Networks 16(4) (2020)
• 
  Bingqian Zhou, Xingsheng Gu:
  Multi-block statistics local kernel principal component analysis algorithm and its application in nonlinear process fault detection. Neurocomputing 376: 222-231 (2020)
• 
  Salar Fattahi, Somayeh Sojoudi:
  Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis. J. Mach. Learn. Res. 21: 59:1-59:51 (2020)
• 
  Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou:
  Locality preserving difference component analysis based on the Lq norm. Pattern Anal. Appl. 23(2): 735-749 (2020)
• 
  Armin Eftekhari, Raphael A. Hauser:
  Principal Component Analysis by Optimization of Symmetric Functions has no Spurious Local Optima. SIAM J. Optim. 30(1): 439-463 (2020)
• 
  Di Wang, Jinhui Xu:
  Principal Component Analysis in the local differential privacy model. Theor. Comput. Sci. 809: 296-312 (2020)
• 
  Yun Feng, Han-Xiong Li:
  Dynamic Spatial-Independent-Component-Analysis-Based Abnormality Localization for Distributed Parameter Systems. IEEE Trans. Ind. Informatics 16(5): 2929-2936 (2020)
• 
  Ian Daly, Milan Rybár:
  Neural component analysis: source localisation for motor imagery classification. EMBC 2020: 498-501
• 
  Nico Migenda, Wolfram Schenck:
  Adaptive Dimensionality Reduction for Local Principal Component Analysis. ETFA 2020: 1579-1586
• 
  Pierre-Yves Lagrave:
  A Principal Component Analysis Approach for Embedding Local Symmetries into Deep Learning Algorithms. SAFECOMP Workshops 2020: 302-314
• 
  Giuseppe D'Alessio, Antonio Attili, Alberto Cuoci, Heinz Pitsch, Alessandro Parente:
  Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis. SOCO 2020: 460-469
• 
  Xiaoyu Zhu, Hefeng Dong, Pierluigi Salvo Rossi, Martin Landrø:
  Feature Selection based on Principal Component Analysis for Underwater Source Localization by Deep Learning. CoRR abs/2011.12754 (2020)
• 2019
• 
  Xiaogang Deng, Peipei Cai, Jiawei Deng, Yuping Cao, Zhihuan Song:
  Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes. IEEE Access 7: 122192-122204 (2019)
• 
  Ping Wu, Lingling Guo, Siwei Lou, Jinfeng Gao:
  Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring. IEEE Access 7: 25547-25562 (2019)
• 
  Mao Ge, Yong Lv, Yi Zhang, Cancan Yi, Yubo Ma:
  An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy. Entropy 21(10): 959 (2019)
• 
  Jinwei Wang, Yangyang Li, Jian Li, Xiangyang Luo, Yun-Qing Shi, Sunil Kr. Jha:
  Color image-spliced localization based on quaternion principal component analysis and quaternion skewness. J. Inf. Secur. Appl. 47: 353-362 (2019)
• 
  Lina Jia, Quan Zhang, Yi Liu, Wenbin Chen, Na Wang, Zhiguo Gui, Guanru Yang:
  A Two-Step Denoising Method for Low Dose Computed Tomography Image via Morphological Component Analysis and Non-Local Means. J. Medical Imaging Health Informatics 9(1): 140-147 (2019)

skipping 123 more matches