Journal articles on the topic 'Active subspace'
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Holodnak, John T., Ilse C. F. Ipsen, and Ralph C. Smith. "A Probabilistic Subspace Bound with Application to Active Subspaces." SIAM Journal on Matrix Analysis and Applications 39, no. 3 (January 2018): 1208–20. http://dx.doi.org/10.1137/17m1141503.
Full textXie, Ziqi, and Lihong Wang. "Active Block Diagonal Subspace Clustering." IEEE Access 9 (2021): 83976–92. http://dx.doi.org/10.1109/access.2021.3087575.
Full textYu, Yu Min. "The Characteristics of Affine Bivariate Pseudoframes of Subspace Associated with a Bivariate Filter Functions." Key Engineering Materials 439-440 (June 2010): 926–31. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.926.
Full textLi, Changsheng, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, and Guoren Wang. "Unsupervised Active Learning via Subspace Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 8332–39. http://dx.doi.org/10.1609/aaai.v35i9.17013.
Full textXu, Yong Fan. "Study of Matrix Multipliers for Normalized Frame Multi-Wavelets and Applications in Engineering Material Technology." Advanced Materials Research 753-755 (August 2013): 2321–24. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2321.
Full textErdal, Daniel, and Olaf A. Cirpka. "Global sensitivity analysis and adaptive stochastic sampling of a subsurface-flow model using active subspaces." Hydrology and Earth System Sciences 23, no. 9 (September 18, 2019): 3787–805. http://dx.doi.org/10.5194/hess-23-3787-2019.
Full textLiu, Yanbei, Kaihua Liu, Changqing Zhang, Xiao Wang, Shaona Wang, and Zhitao Xiao. "Entropy-based active sparse subspace clustering." Multimedia Tools and Applications 77, no. 17 (April 20, 2018): 22281–97. http://dx.doi.org/10.1007/s11042-018-5945-1.
Full textSeshadri, P., S. Yuchi, G. T. Parks, and S. Shahpar. "Supporting multi-point fan design with dimension reduction." Aeronautical Journal 124, no. 1279 (July 27, 2020): 1371–98. http://dx.doi.org/10.1017/aer.2020.50.
Full textLiu, Guangcan, and Shuicheng Yan. "Active Subspace: Toward Scalable Low-Rank Learning." Neural Computation 24, no. 12 (December 2012): 3371–94. http://dx.doi.org/10.1162/neco_a_00369.
Full textN., Navaneeth, and Souvik Chakraborty. "Surrogate assisted active subspace and active subspace assisted surrogate—A new paradigm for high dimensional structural reliability analysis." Computer Methods in Applied Mechanics and Engineering 389 (February 2022): 114374. http://dx.doi.org/10.1016/j.cma.2021.114374.
Full textZhang, Jihui, Thushara Abhayapala, Wen Zhang, and Prasanga Samarasinghe. "Active Noise Control over Space: A Subspace Method for Performance Analysis." Applied Sciences 9, no. 6 (March 25, 2019): 1250. http://dx.doi.org/10.3390/app9061250.
Full textZhang, Rong Rong, Yue Hua Li, and Jian Qiao Wang. "Laplacian Transductive Optimal Design for Face Classification." Applied Mechanics and Materials 513-517 (February 2014): 1101–4. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1101.
Full textKhatamsaz, Danial, Abhilash Molkeri, Richard Couperthwaite, Jaylen James, Raymundo Arróyave, Ankit Srivastava, and Douglas Allaire. "Adaptive active subspace-based efficient multifidelity materials design." Materials & Design 209 (November 2021): 110001. http://dx.doi.org/10.1016/j.matdes.2021.110001.
Full textPichara, Karim, and Alvaro Soto. "Active learning and subspace clustering for anomaly detection." Intelligent Data Analysis 15, no. 2 (March 11, 2011): 151–71. http://dx.doi.org/10.3233/ida-2010-0461.
Full textChen, Yanxi, Gen Li, and Yuantao Gu. "Active Orthogonal Matching Pursuit for Sparse Subspace Clustering." IEEE Signal Processing Letters 25, no. 2 (February 2018): 164–68. http://dx.doi.org/10.1109/lsp.2017.2741509.
Full textNie, Zhenhua, Yongkang Xie, Jun Li, Hong Hao, and Hongwei Ma. "Damage detection in bridges under moving loads based on subspace projection residuals." Advances in Structural Engineering 25, no. 5 (January 6, 2022): 979–1001. http://dx.doi.org/10.1177/13694332211056107.
Full textBoulemnadjel, Amel, Fella Hachouf, Amel Hebboul, and Khalifa Djemal. "Active learning for improving a soft subspace clustering algorithm." Engineering Applications of Artificial Intelligence 46 (November 2015): 196–208. http://dx.doi.org/10.1016/j.engappai.2015.08.005.
Full textZhou, Tong, and Yongbo Peng. "Active learning and active subspace enhancement for PDEM-based high-dimensional reliability analysis." Structural Safety 88 (January 2021): 102026. http://dx.doi.org/10.1016/j.strusafe.2020.102026.
Full textAlswaitti, Mohammed, Kamran Siddique, Shulei Jiang, Waleed Alomoush, and Ayat Alrosan. "Dimensionality Reduction, Modelling, and Optimization of Multivariate Problems Based on Machine Learning." Symmetry 14, no. 7 (June 21, 2022): 1282. http://dx.doi.org/10.3390/sym14071282.
Full textZhang, Long, Nana Wang, Jieli Wei, and Zhuyin Ren. "Exploring active subspace for neural network prediction of oscillating combustion." Combustion Theory and Modelling 25, no. 3 (April 16, 2021): 570–87. http://dx.doi.org/10.1080/13647830.2021.1915500.
Full textZhang, Lihe, Jiayu Sun, Tiantian Wang, Yifan Min, and Huchuan Lu. "Visual Saliency Detection via Kernelized Subspace Ranking With Active Learning." IEEE Transactions on Image Processing 29 (2020): 2258–70. http://dx.doi.org/10.1109/tip.2019.2945679.
Full textLewis, Allison, Ralph Smith, and Brian Williams. "Gradient free active subspace construction using Morris screening elementary effects." Computers & Mathematics with Applications 72, no. 6 (September 2016): 1603–15. http://dx.doi.org/10.1016/j.camwa.2016.07.022.
Full textCui, Chunfeng, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan Oseledets, and Zheng Zhang. "Active Subspace of Neural Networks: Structural Analysis and Universal Attacks." SIAM Journal on Mathematics of Data Science 2, no. 4 (January 2020): 1096–122. http://dx.doi.org/10.1137/19m1296070.
Full textJunyan Wang and Kap Luk Chan. "Incorporating Patch Subspace Model in Mumford–Shah Type Active Contours." IEEE Transactions on Image Processing 22, no. 11 (November 2013): 4473–85. http://dx.doi.org/10.1109/tip.2013.2274385.
Full textLi, Jichao, Jinsheng Cai, and Kun Qu. "Surrogate-based aerodynamic shape optimization with the active subspace method." Structural and Multidisciplinary Optimization 59, no. 2 (August 24, 2018): 403–19. http://dx.doi.org/10.1007/s00158-018-2073-5.
Full textNguyen, Hai, Jonathan Wittmer, and Tan Bui-Thanh. "DIAS: A Data-Informed Active Subspace Regularization Framework for Inverse Problems." Computation 10, no. 3 (March 11, 2022): 38. http://dx.doi.org/10.3390/computation10030038.
Full textWang, Nana, Tianwei Yang, and Zhuyin Ren. "Active Subspace Variation and Modeling Uncertainty in a Supersonic Flame Simulation." AIAA Journal 59, no. 5 (May 2021): 1798–807. http://dx.doi.org/10.2514/1.j059977.
Full textConstantine, Paul G., Eric Dow, and Qiqi Wang. "Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces." SIAM Journal on Scientific Computing 36, no. 4 (January 2014): A1500—A1524. http://dx.doi.org/10.1137/130916138.
Full textBlanding, W. R., P. K. Willett, Y. Bar-Shalom, and R. Lynch. "Directed subspace search ML-PDA with application to active sonar tracking." IEEE Transactions on Aerospace and Electronic Systems 44, no. 1 (January 2008): 201–16. http://dx.doi.org/10.1109/taes.2008.4516999.
Full textConstantine, Paul G., Brian Zaharatos, and Mark Campanelli. "Discovering an active subspace in a single-diode solar cell model." Statistical Analysis and Data Mining: The ASA Data Science Journal 8, no. 5-6 (July 24, 2015): 264–73. http://dx.doi.org/10.1002/sam.11281.
Full textGao, Chuanqiang, Weiwei Zhang, Jiaqing Kou, Yilang Liu, and Zhengyin Ye. "Active control of transonic buffet flow." Journal of Fluid Mechanics 824 (July 5, 2017): 312–51. http://dx.doi.org/10.1017/jfm.2017.344.
Full textKovtun, Viacheslav, Ivan Izonin, and Michal Gregus. "Modeling a session of subject-system interaction in a wireless communication infrastructure with a mixed resource." PLOS ONE 17, no. 7 (July 18, 2022): e0271536. http://dx.doi.org/10.1371/journal.pone.0271536.
Full textLi, Shanshan. "A Cross-Media Advertising Design and Communication Model Based on Feature Subspace Learning." Computational Intelligence and Neuroscience 2022 (May 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/5874722.
Full textSu, Xingyu, Weiqi Ji, and Zhuyin Ren. "Uncertainty analysis in mechanism reduction via active subspace and transition state analyses." Combustion and Flame 227 (May 2021): 135–46. http://dx.doi.org/10.1016/j.combustflame.2020.12.053.
Full textWu, Yisheng, Cheng Guan, Zhen Huang, and Dong Han. "Fuel octane number prediction based on topological indices and active subspace method." Fuel 293 (June 2021): 120494. http://dx.doi.org/10.1016/j.fuel.2021.120494.
Full textLin, Bangde Liu &. Guang. "High-Dimensional Nonlinear Multi-Fidelity Model with Gradient-Free Active Subspace Method." Communications in Computational Physics 28, no. 5 (June 2020): 1937–69. http://dx.doi.org/10.4208/cicp.oa-2020-0195.
Full textConstantine, Paul G., Eric Dow, and Qiqi Wang. "Erratum: Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces." SIAM Journal on Scientific Computing 36, no. 6 (January 2014): A3030—A3031. http://dx.doi.org/10.1137/140983598.
Full textHu, Xingzhi, Xiaoqian Chen, Yong Zhao, Zhouhui Tuo, and Wen Yao. "Active subspace approach to reliability and safety assessments of small satellite separation." Acta Astronautica 131 (February 2017): 159–65. http://dx.doi.org/10.1016/j.actaastro.2016.10.042.
Full textVohra, Manav, Alen Alexanderian, Hayley Guy, and Sankaran Mahadevan. "Active subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty." Combustion and Flame 204 (June 2019): 152–61. http://dx.doi.org/10.1016/j.combustflame.2019.03.006.
Full textNestorović-Trajkov, Tamara, and Ulrich Gabbert. "Active control of a piezoelectric funnel-shaped structure based on subspace identification." Structural Control and Health Monitoring 13, no. 6 (2006): 1068–79. http://dx.doi.org/10.1002/stc.94.
Full textDemo, Nicola, Marco Tezzele, Andrea Mola, and Gianluigi Rozza. "Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing." Journal of Marine Science and Engineering 9, no. 2 (February 11, 2021): 185. http://dx.doi.org/10.3390/jmse9020185.
Full textLi, Chun-xiao, Huan-cai Lu, Ming-fei Guo, Hang-fang Zhao, and Jiang-ming Jin. "Decomposition of the Time Reversal Operator for Target Detection." Mathematical Problems in Engineering 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/597474.
Full textLin, D. D., and T. J. Lim. "Subspace-Based Active User Identification for a Collision-Free Slotted Ad Hoc Network." IEEE Transactions on Communications 52, no. 4 (April 2004): 612–21. http://dx.doi.org/10.1109/tcomm.2004.826415.
Full textJiang, Xiong, Xingzhi Hu, Gang Liu, Xiao Liang, and Ruili Wang. "A generalized active subspace for dimension reduction in mixed aleatory-epistemic uncertainty quantification." Computer Methods in Applied Mechanics and Engineering 370 (October 2020): 113240. http://dx.doi.org/10.1016/j.cma.2020.113240.
Full textLeon, Lider S., Paul R. Miles, Ralph C. Smith, and William S. Oates. "Active subspace analysis and uncertainty quantification for a polydomain ferroelectric phase-field model." Journal of Intelligent Material Systems and Structures 30, no. 14 (July 3, 2019): 2027–51. http://dx.doi.org/10.1177/1045389x19853636.
Full textGilbert, James M., Jennifer L. Jefferson, Paul G. Constantine, and Reed M. Maxwell. "Global spatial sensitivity of runoff to subsurface permeability using the active subspace method." Advances in Water Resources 92 (June 2016): 30–42. http://dx.doi.org/10.1016/j.advwatres.2016.03.020.
Full textWang, Xiao Juan, and Min Xu. "Aero-Elastic Active Control Modeling via Improved POD Method." Applied Mechanics and Materials 117-119 (October 2011): 339–46. http://dx.doi.org/10.4028/www.scientific.net/amm.117-119.339.
Full textHobbs, Nicole, Iman Hajizadeh, Mudassir Rashid, Kamuran Turksoy, Marc Breton, and Ali Cinar. "Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes." Journal of Diabetes Science and Technology 13, no. 4 (January 18, 2019): 718–27. http://dx.doi.org/10.1177/1932296818820550.
Full textLUO, YAN-AN, FENG PAN, PING-ZHI NING, and J. P. DRAAYER. "INTRUDER LEVELS AND VIBRATIONAL MODES IN THE SD-PAIR SHELL MODEL." International Journal of Modern Physics E 14, no. 08 (November 2005): 1205–12. http://dx.doi.org/10.1142/s0218301305003806.
Full textZhang, Kai, and Xuejia Lai. "Another Perspective on Automatic Construction of Integral Distinguishers for ARX Ciphers." Symmetry 14, no. 3 (February 24, 2022): 461. http://dx.doi.org/10.3390/sym14030461.
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