Artículos de revistas sobre el tema "GRADIENT COMPUTATION"
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Ding, Zhiyan y Qin Li. "Constrained Ensemble Langevin Monte Carlo". Foundations of Data Science 4, n.º 1 (2022): 37. http://dx.doi.org/10.3934/fods.2021034.
Texto completoB N, Shobha, Govind R. Kadambi, S. R. Shankapal y Yuri Vershinim. "Effect of variation in colour gradient information for optic flow computations". International Journal of Engineering & Technology 3, n.º 4 (17 de septiembre de 2014): 445. http://dx.doi.org/10.14419/ijet.v3i4.2722.
Texto completoSengupta, B., K. J. Friston y W. D. Penny. "Efficient gradient computation for dynamical models". NeuroImage 98 (septiembre de 2014): 521–27. http://dx.doi.org/10.1016/j.neuroimage.2014.04.040.
Texto completoXu, Jingyan y Frederic Noo. "Efficient gradient computation for optimization of hyperparameters". Physics in Medicine & Biology 67, n.º 3 (7 de febrero de 2022): 03NT01. http://dx.doi.org/10.1088/1361-6560/ac4442.
Texto completoHill, S. "Reduced gradient computation in prediction error identification". IEEE Transactions on Automatic Control 30, n.º 8 (agosto de 1985): 776–78. http://dx.doi.org/10.1109/tac.1985.1104062.
Texto completoCalugaru, Dan-Gabriel y Jean-Marie Crolet. "Gradient computation in a nonlinear inverse problem". Comptes Rendus Mathematique 336, n.º 8 (abril de 2003): 691–96. http://dx.doi.org/10.1016/s1631-073x(03)00130-4.
Texto completoBerlin, Konstantin, Nail A. Gumerov, David Fushman y Ramani Duraiswami. "HierarchicalO(N) computation of small-angle scattering profiles and their associated derivatives". Journal of Applied Crystallography 47, n.º 2 (28 de marzo de 2014): 755–61. http://dx.doi.org/10.1107/s1600576714004671.
Texto completoZhang, Jianfei y Lei Zhang. "Efficient CUDA Polynomial Preconditioned Conjugate Gradient Solver for Finite Element Computation of Elasticity Problems". Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/398438.
Texto completoYang, Jucheng, Xiaojing Wang, Shujie Han, Jie Wang, Dong Sun Park y Yuan Wang. "Improved Real-Time Facial Expression Recognition Based on a Novel Balanced and Symmetric Local Gradient Coding". Sensors 19, n.º 8 (22 de abril de 2019): 1899. http://dx.doi.org/10.3390/s19081899.
Texto completoSmistad, Erik y Frank Lindseth. "Multigrid gradient vector flow computation on the GPU". Journal of Real-Time Image Processing 12, n.º 3 (30 de octubre de 2014): 593–601. http://dx.doi.org/10.1007/s11554-014-0466-2.
Texto completoDavies, E. R. "Optimising computation of hexagonal differential gradient edge detector". Electronics Letters 27, n.º 17 (1991): 1526. http://dx.doi.org/10.1049/el:19910959.
Texto completode Moraes, Rafael J., Wessel de Zeeuw, José Roberto P. Rodrigues, Hadi Hajibeygi y Jan Dirk Jansen. "Iterative multiscale gradient computation for heterogeneous subsurface flow". Advances in Water Resources 129 (julio de 2019): 210–21. http://dx.doi.org/10.1016/j.advwatres.2019.05.016.
Texto completoGao, Jiaqi, Dongdong Peng, Tian Zhou, Tianhao Wang y Chao Xu. "Terrain Matching Localization for Underwater Vehicle Based on Gradient Fitting". Journal of Sensors 2018 (30 de diciembre de 2018): 1–14. http://dx.doi.org/10.1155/2018/3717430.
Texto completoDanner, Gábor, Árpád Berta, István Hegedűs y Márk Jelasity. "Robust Fully Distributed Minibatch Gradient Descent with Privacy Preservation". Security and Communication Networks 2018 (14 de mayo de 2018): 1–15. http://dx.doi.org/10.1155/2018/6728020.
Texto completoFan, Xiaomeng, Yuwei Wu, Zhi Gao, Yunde Jia y Mehrtash Harandi. "Efficient Riemannian Meta-Optimization by Implicit Differentiation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 4 (28 de junio de 2022): 3733–40. http://dx.doi.org/10.1609/aaai.v36i4.20287.
Texto completoSchwabacher, Mark y Andrew Gelsey. "Intelligent gradient-based search of incompletely defined design spaces". Artificial Intelligence for Engineering Design, Analysis and Manufacturing 11, n.º 3 (junio de 1997): 199–210. http://dx.doi.org/10.1017/s0890060400003127.
Texto completoDe Keyser, J. "Least-squares multi-spacecraft gradient calculation with automatic error estimation". Annales Geophysicae 26, n.º 11 (21 de octubre de 2008): 3295–316. http://dx.doi.org/10.5194/angeo-26-3295-2008.
Texto completoSkierczynski, B. A., S. Usami, S. Chien y R. Skalak. "Active Motion of Polymorphonuclear Leukocytes in Response to Chemoattractant in a Micropipette". Journal of Biomechanical Engineering 115, n.º 4B (1 de noviembre de 1993): 503–9. http://dx.doi.org/10.1115/1.2895531.
Texto completoOzfatura, Emre, Sennur Ulukus y Deniz Gündüz. "Straggler-Aware Distributed Learning: Communication–Computation Latency Trade-Off". Entropy 22, n.º 5 (13 de mayo de 2020): 544. http://dx.doi.org/10.3390/e22050544.
Texto completoXiao, Yunchen, Len Thomas y Mark A. J. Chaplain. "Calibrating models of cancer invasion: parameter estimation using approximate Bayesian computation and gradient matching". Royal Society Open Science 8, n.º 6 (junio de 2021): 202237. http://dx.doi.org/10.1098/rsos.202237.
Texto completoLucka, Felix, Mailyn Pérez-Liva, Bradley E. Treeby y Ben T. Cox. "High resolution 3D ultrasonic breast imaging by time-domain full waveform inversion". Inverse Problems 38, n.º 2 (30 de diciembre de 2021): 025008. http://dx.doi.org/10.1088/1361-6420/ac3b64.
Texto completoAwotunde, A. A. A. y R. N. N. Horne. "An Improved Adjoint-Sensitivity Computation for Multiphase Flow Using Wavelets". SPE Journal 17, n.º 02 (8 de febrero de 2012): 402–17. http://dx.doi.org/10.2118/133866-pa.
Texto completoGao, Peichao, Samuel A. Cushman, Gang Liu, Sijing Ye, Shi Shen y Changxiu Cheng. "FracL: A Tool for Characterizing the Fractality of Landscape Gradients from a New Perspective". ISPRS International Journal of Geo-Information 8, n.º 10 (22 de octubre de 2019): 466. http://dx.doi.org/10.3390/ijgi8100466.
Texto completoChen, Mengyun, Kaixin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen et al. "THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 8 (18 de mayo de 2021): 7046–54. http://dx.doi.org/10.1609/aaai.v35i8.16867.
Texto completoBasnet, Min Bahadur, Mohammad Anas, Zarghaam Haider Rizvi, Asmer Hamid Ali, Mohammad Zain, Giovanni Cascante y Frank Wuttke. "Enhancement of In-Plane Seismic Full Waveform Inversion with CPU and GPU Parallelization". Applied Sciences 12, n.º 17 (2 de septiembre de 2022): 8844. http://dx.doi.org/10.3390/app12178844.
Texto completoZhu, Tiefeng, Zaizai Yan y Xiuyun Peng. "A Modified Nonlinear Conjugate Gradient Method for Engineering Computation". Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1425857.
Texto completoCong, Jason, Guojie Luo y Eric Radke. "Highly Efficient Gradient Computation for Density-Constrained Analytical Placement". IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 27, n.º 12 (diciembre de 2008): 2133–44. http://dx.doi.org/10.1109/tcad.2008.2006158.
Texto completoZhou, J. X., Q. Zhou, T. Chen, Y. J. Yin y X. Shen. "Computation of feed-path based on temperature gradient method". Materials Research Innovations 19, sup5 (mayo de 2015): S5–811—S5–816. http://dx.doi.org/10.1179/1432891714z.0000000001198.
Texto completoCarlson, J. R., N. Duquesne, C. L. Rumsey y T. B. Gatski. "Computation of turbulent wake flows in variable pressure gradient". Computers & Fluids 30, n.º 2 (febrero de 2001): 161–87. http://dx.doi.org/10.1016/s0045-7930(00)00007-4.
Texto completoMoraes, Rafael J. de, José R. P. Rodrigues, Hadi Hajibeygi y Jan Dirk Jansen. "Multiscale gradient computation for flow in heterogeneous porous media". Journal of Computational Physics 336 (mayo de 2017): 644–63. http://dx.doi.org/10.1016/j.jcp.2017.02.024.
Texto completoBozma, H. I. "Computation of Nash equilibria: admissibility of parallel gradient descent". Journal of Optimization Theory and Applications 90, n.º 1 (julio de 1996): 45–61. http://dx.doi.org/10.1007/bf02192245.
Texto completoSteinmann, Paul. "Formulation and computation of geometrically non-linear gradient damage". International Journal for Numerical Methods in Engineering 46, n.º 5 (20 de octubre de 1999): 757–79. http://dx.doi.org/10.1002/(sici)1097-0207(19991020)46:5<757::aid-nme731>3.0.co;2-n.
Texto completoZmigrod, Ran, Tim Vieira y Ryan Cotterell. "Efficient Computation of Expectations under Spanning Tree Distributions". Transactions of the Association for Computational Linguistics 9 (2021): 675–90. http://dx.doi.org/10.1162/tacl_a_00391.
Texto completoDalla, Carlos Eduardo Rambalducci, Wellington Betencurte da Silva, Júlio Cesar Sampaio Dutra y Marcelo José Colaço. "A comparative study of gradient-based and meta-heuristic optimization methods using Griewank benchmark function/ Um estudo comparativo de métodos de otimização baseados em gradientes e meta-heurísticos usando a função de benchmark do Griewank". Brazilian Journal of Development 7, n.º 6 (7 de junio de 2021): 55341–50. http://dx.doi.org/10.34117/bjdv7n6-102.
Texto completoFikl, Alexandru, Vincent Le Chenadec y Taraneh Sayadi. "Control and Optimization of Interfacial Flows Using Adjoint-Based Techniques". Fluids 5, n.º 3 (10 de septiembre de 2020): 156. http://dx.doi.org/10.3390/fluids5030156.
Texto completoFattah, Esmail Abdul, Janet Van Niekerk y Håvard Rue. "Smart Gradient - An adaptive technique for improving gradient estimation". Foundations of Data Science 4, n.º 1 (2022): 123. http://dx.doi.org/10.3934/fods.2021037.
Texto completoSun, Zong Hai. "Constraint Projection Adaptive Natural Gradient Online Algorithm for SVM". Advanced Materials Research 139-141 (octubre de 2010): 1692–96. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1692.
Texto completoMoldovanu, Simona, Lenuta Pană Toporaș, Anjan Biswas y Luminita Moraru. "Combining Sparse and Dense Features to Improve Multi-Modal Registration for Brain DTI Images". Entropy 22, n.º 11 (14 de noviembre de 2020): 1299. http://dx.doi.org/10.3390/e22111299.
Texto completoCao, Shaohua, Shu Chen, Hui Chen, Hanqing Zhang, Zijun Zhan y Weishan Zhang. "HCOME: Research on Hybrid Computation Offloading Strategy for MEC Based on DDPG". Electronics 12, n.º 3 (21 de enero de 2023): 562. http://dx.doi.org/10.3390/electronics12030562.
Texto completoIwahana, Kazuki, Naoto Yanai, Jason Paul Cruz y Toru Fujiwara. "SPGC: Integration of Secure Multiparty Computation and Differential Privacy for Gradient Computation on Collaborative Learning". Journal of Information Processing 30 (2022): 209–25. http://dx.doi.org/10.2197/ipsjjip.30.209.
Texto completoFu, Ping, Hui Liu, Xihua Chu y Yuanjie Xu. "A Multiscale Computational Formulation for Gradient Elasticity Problems of Heterogeneous Structures". International Journal of Computational Methods 13, n.º 05 (31 de agosto de 2016): 1650030. http://dx.doi.org/10.1142/s0219876216500304.
Texto completoBrzoska, Jean-Bruno, Frédéric Flin y Jean Barckicke. "Explicit iterative computation of diffusive vapour field in the 3-D snow matrix: preliminary results for low flux metamorphism". Annals of Glaciology 48 (2008): 13–18. http://dx.doi.org/10.3189/172756408784700798.
Texto completoNicolet, Baptiste, Fabrice Rousselle, Jan Novak, Alexander Keller, Wenzel Jakob y Thomas Müller. "Recursive Control Variates for Inverse Rendering". ACM Transactions on Graphics 42, n.º 4 (26 de julio de 2023): 1–13. http://dx.doi.org/10.1145/3592139.
Texto completoTan, Yanli y Yongqiang Zhao. "A Fast Otsu Thresholding Method Based on an Improved 2D Histogram". International Journal of Circuits, Systems and Signal Processing 15 (12 de agosto de 2021): 953–59. http://dx.doi.org/10.46300/9106.2021.15.102.
Texto completoThurston, Jeffrey B. y R. James Brown. "Automated source‐edge location with a new variable pass‐band horizontal‐gradient operator". GEOPHYSICS 59, n.º 4 (abril de 1994): 546–54. http://dx.doi.org/10.1190/1.1443615.
Texto completoCao, Zuohao, Jianmin Ma y Wayne R. Rouse. "Improving Computation of Sensible Heat Flux over a Water Surface Using the Variational Method". Journal of Hydrometeorology 7, n.º 4 (1 de agosto de 2006): 678–86. http://dx.doi.org/10.1175/jhm513.1.
Texto completoLachenmaier, Nicolas, Daniel Baumgärtner, Heinz-Peter Schiffer y Johannes Kech. "Gradient-Free and Gradient-Based Optimization of a Radial Turbine". International Journal of Turbomachinery, Propulsion and Power 5, n.º 3 (6 de julio de 2020): 14. http://dx.doi.org/10.3390/ijtpp5030014.
Texto completoZhao, Kang, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu y Yinghui Xu. "Distribution Adaptive INT8 Quantization for Training CNNs". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 3483–91. http://dx.doi.org/10.1609/aaai.v35i4.16462.
Texto completoDe Henau, V., G. D. Raithby y B. E. Thompson. "Prediction of Flows With Strong Curvature and Pressure Gradient Using the k–ε Turbulence Model". Journal of Fluids Engineering 112, n.º 1 (1 de marzo de 1990): 40–47. http://dx.doi.org/10.1115/1.2909366.
Texto completoLakrisenko, Polina, Paul Stapor, Stephan Grein, Łukasz Paszkowski, Dilan Pathirana, Fabian Fröhlich, Glenn Terje Lines, Daniel Weindl y Jan Hasenauer. "Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks". PLOS Computational Biology 19, n.º 1 (3 de enero de 2023): e1010783. http://dx.doi.org/10.1371/journal.pcbi.1010783.
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