• 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 111 matches

• 2020
• 
  Huixia Liu, Weimin Wu, Hongyong Yang:
  Strong Controllable Siphon Basis-Based Robust Deadlock Control for Manufacturing Systems With Multiple Unreliable Resources. IEEE Access 8: 269-277 (2020)
• 
  Shun Zhang:
  Primal-Dual Reduced Basis Methods for Convex Minimization Variational Problems: Robust True Solution a Posteriori Error Certification and Adaptive Greedy Algorithms. SIAM J. Sci. Comput. 42(6): A3638-A3676 (2020)
• 
  Keval S. Ramani, Chinedum Emmanuel Okwudire:
  Optimal Selection of Basis Functions for Robust Tracking Control of Linear Systems using Filtered Basis Functions. ACC 2020: 1539-1544
• 
  Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
  Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML 2020: 512-536
• 
  Linda Bianchini, João Santinha, Nuno Loução, Mário A. T. Figueiredo, Francesca Botta, Daniela Origgi, Marta Cremonesi, Enrico Cassano, Nikolaos Papanikolaou, Alessandro Lascialfari:
  A multicenter study on radiomic features from T₂-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics. CoRR abs/2005.06833 (2020)
• 
  Fernando G. S. L. Brandão, Richard Kueng, Daniel Stilck França:
  Fast and robust quantum state tomography from few basis measurements. CoRR abs/2009.08216 (2020)
• 
  Geoffrey Chinot, Matthias Löffler, Sara A. van de Geer:
  Minimum 𝓁₁-norm interpolation via basis pursuit is robust to errors. CoRR abs/2012.00807 (2020)
• 2019
• 
  Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang:
  Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond. IEEE Access 7: 173216-173229 (2019)
• 
  Ranjeeta Bisoi, P. K. Dash, A. K. Parida:
  Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis. Appl. Soft Comput. 74: 652-678 (2019)
• 
  Yanlai Chen, Jiahua Jiang, Akil Narayan:
  A robust error estimator and a residual-free error indicator for reduced basis methods. Comput. Math. Appl. 77(7): 1963-1979 (2019)
• 
  Xin-Wen Wang, Shi-Qing Tang, Yan Liu, Ji-Bing Yuan:
  Improving the Robustness of Entangled States by Basis Transformation. Entropy 21(1): 59 (2019)
• 
  Prasenjit Dey, Madhumita Gopal, Payal Pradhan, Tandra Pal:
  On robustness of radial basis function network with input perturbation. Neural Comput. Appl. 31(2): 523-537 (2019)
• 
  Alonso Rodríguez-Navarro, Ricardo Brito:
  Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment. Scientometrics 119(1): 213-235 (2019)
• 
  Jan Kalina, Petra Vidnerová:
  Robust Training of Radial Basis Function Neural Networks. ICAISC (1) 2019: 113-124
• 
  Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
  Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR abs/1912.04862 (2019)
• 2018
• 
  Hossein Mirzaeinejad:
  Robust predictive control of wheel slip in antilock braking systems based on radial basis function neural network. Appl. Soft Comput. 70: 318-329 (2018)
• 
  Fahimeh Baghbani, M.-R. Akbarzadeh-T, Mohammad-Bagher Naghibi-Sistani:
  Stable robust adaptive radial basis emotional neurocontrol for a class of uncertain nonlinear systems. Neurocomputing 309: 11-26 (2018)
• 
  Yawu Wang, Xuzhi Lai, Pan Zhang, Min Wu:
  Adaptive robust control for planar n-link underactuated manipulator based on radial basis function neural network and online iterative correction method. J. Frankl. Inst. 355(17): 8373-8391 (2018)
• 
  Yipeng Ning, Jian Wang, Houzeng Han, Xinglong Tan, Tianjun Liu:
  An Optimal Radial Basis Function Neural Network Enhanced Adaptive Robust Kalman Filter for GNSS/INS Integrated Systems in Complex Urban Areas. Sensors 18(9): 3091 (2018)
• 
  Václav Skala, Michal Smolik:
  A New Approach to Vector Field Interpolation, Classification and Robust Critical Points Detection Using Radial Basis Functions. CSOC (3) 2018: 109-115
• 2017
• 
  Shengping Zhang, Xiangyuan Lan, Yuankai Qi, Pong C. Yuen:
  Robust Visual Tracking via Basis Matching. IEEE Trans. Circuits Syst. Video Technol. 27(3): 421-430 (2017)
• 
  Lindsey Raven, Dah-Jye Lee, Alok Desai:
  Robust synthetic basis feature descriptor. ICIP 2017: 1542-1546
• 
  C. J. B. Macnab:
  Achieving robust adaptive CMAC control by overlayering basis functions. SSCI 2017: 1-6
• 2016
• 
  Anton Feldmann:
  Genaue und robuste Online-Kalibrierung für Stereo-Kamera-Systeme mit fester Basisbreite. Bielefeld University, Germany, 2016
• 
  Youngjun Kim, Yong Hum Na, Lei Xing, Rena Lee, Se Hyung Park:
  Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching. Comput. Biol. Medicine 77: 173-181 (2016)
• 
  Phuong D. Ngo, Yung C. Shin:
  Modeling of unstructured uncertainties and robust controlling of nonlinear dynamic systems based on type-2 fuzzy basis function networks. Eng. Appl. Artif. Intell. 53: 74-85 (2016)
• 
  Yanhui Li, Qi Zhang, Xiu-Jie Zhou, Xionglin Luo:
  Basis-dependent and delay-dependent results on robust L₁ filtering for networked control systems. J. Frankl. Inst. 353(14): 3368-3385 (2016)
• 
  Hsu-Chih Huang, Chih-Hao Chiang:
  An Evolutionary Radial Basis Function Neural Network with Robust Genetic-Based Immunecomputing for Online Tracking Control of Autonomous Robots. Neural Process. Lett. 44(1): 19-35 (2016)
• 
  Adam Kortylewski, Thomas Vetter:
  Probabilistic Compositional Active Basis Models for Robust Pattern Recognition. BMVC 2016
• 2015
• 
  Humberto Xavier Araujo, Rafael R. De Araújo, Gustavo H. C. Oliveira:
  LMI approach for robust predictive control using orthonormal basis functions. Int. J. Model. Identif. Control. 24(3): 244-256 (2015)

skipping 81 more matches