Artículos de revistas sobre el tema "Spatio-temporal random fields"
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Descombes, X., F. Kruggel y D. Y. Von Cramon. "Spatio-temporal fMRI analysis using Markov random fields". IEEE Transactions on Medical Imaging 17, n.º 6 (1998): 1028–39. http://dx.doi.org/10.1109/42.746636.
Texto completoDe Iaco, S. y D. Posa. "Predicting spatio-temporal random fields: Some computational aspects". Computers & Geosciences 41 (abril de 2012): 12–24. http://dx.doi.org/10.1016/j.cageo.2011.11.014.
Texto completoPiatkowski, Nico, Sangkyun Lee y Katharina Morik. "Spatio-temporal random fields: compressible representation and distributed estimation". Machine Learning 93, n.º 1 (25 de julio de 2013): 115–39. http://dx.doi.org/10.1007/s10994-013-5399-7.
Texto completoIp, Ryan H. L. y W. K. Li. "Matérn cross-covariance functions for bivariate spatio-temporal random fields". Spatial Statistics 17 (agosto de 2016): 22–37. http://dx.doi.org/10.1016/j.spasta.2016.04.004.
Texto completoSalvaña, Mary Lai O. y Marc G. Genton. "Nonstationary cross-covariance functions for multivariate spatio-temporal random fields". Spatial Statistics 37 (junio de 2020): 100411. http://dx.doi.org/10.1016/j.spasta.2020.100411.
Texto completoFontanella, L., L. Ippoliti, R. J. Martin y S. Trivisonno. "Interpolation of spatial and spatio-temporal Gaussian fields using Gaussian Markov random fields". Advances in Data Analysis and Classification 2, n.º 1 (abril de 2008): 63–79. http://dx.doi.org/10.1007/s11634-008-0019-2.
Texto completoDas, Sonjoy, Roger Ghanem y Steven Finette. "Polynomial chaos representation of spatio-temporal random fields from experimental measurements". Journal of Computational Physics 228, n.º 23 (diciembre de 2009): 8726–51. http://dx.doi.org/10.1016/j.jcp.2009.08.025.
Texto completoWestern, Luke M., Zhe Sha, Matthew Rigby, Anita L. Ganesan, Alistair J. Manning, Kieran M. Stanley, Simon J. O'Doherty, Dickon Young y Jonathan Rougier. "Bayesian spatio-temporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields". Geoscientific Model Development 13, n.º 4 (28 de abril de 2020): 2095–107. http://dx.doi.org/10.5194/gmd-13-2095-2020.
Texto completoJadaliha, Mahdi, Jinho Jeong, Yunfei Xu, Jongeun Choi y Junghoon Kim. "Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields". Sensors 18, n.º 9 (30 de agosto de 2018): 2866. http://dx.doi.org/10.3390/s18092866.
Texto completoGhosh, Debraj y Anup Suryawanshi. "Approximation of Spatio-Temporal Random Processes Using Tensor Decomposition". Communications in Computational Physics 16, n.º 1 (julio de 2014): 75–95. http://dx.doi.org/10.4208/cicp.201112.191113a.
Texto completoFrederiksen, Richard D., Werner J. A. Dahm y David R. Dowling. "Experimental assessment of fractal scale-similarity in turbulent flows. Part 1. One-dimensional intersections". Journal of Fluid Mechanics 327 (25 de noviembre de 1996): 35–72. http://dx.doi.org/10.1017/s0022112096008452.
Texto completoRoscher, Ribana, Bernd Uebbing y Jürgen Kusche. "STAR: Spatio-temporal altimeter waveform retracking using sparse representation and conditional random fields". Remote Sensing of Environment 201 (noviembre de 2017): 148–64. http://dx.doi.org/10.1016/j.rse.2017.07.024.
Texto completoBhole, Chetan y Christopher Pal. "Fully automatic person segmentation in unconstrained video using spatio-temporal conditional random fields". Image and Vision Computing 51 (julio de 2016): 58–68. http://dx.doi.org/10.1016/j.imavis.2016.04.007.
Texto completoKhatoonabadi, S. H. y I. V. Bajic. "Video Object Tracking in the Compressed Domain Using Spatio-Temporal Markov Random Fields". IEEE Transactions on Image Processing 22, n.º 1 (enero de 2013): 300–313. http://dx.doi.org/10.1109/tip.2012.2214049.
Texto completoCecconi, Vittorio, Vivek Kumar, Alessia Pasquazi, Juan Sebastian Totero Gongora y Marco Peccianti. "Nonlinear field-control of terahertz waves in random media for spatiotemporal focusing". Open Research Europe 2 (1 de agosto de 2022): 32. http://dx.doi.org/10.12688/openreseurope.14508.2.
Texto completoCecconi, Vittorio, Vivek Kumar, Alessia Pasquazi, Juan Sebastian Totero Gongora y Marco Peccianti. "Nonlinear field-control of terahertz waves in random media for spatiotemporal focusing". Open Research Europe 2 (8 de marzo de 2022): 32. http://dx.doi.org/10.12688/openreseurope.14508.1.
Texto completoCecconi, Vittorio, Vivek Kumar, Alessia Pasquazi, Juan Sebastian Totero Gongora y Marco Peccianti. "Nonlinear field-control of terahertz waves in random media for spatiotemporal focusing". Open Research Europe 2 (13 de febrero de 2023): 32. http://dx.doi.org/10.12688/openreseurope.14508.3.
Texto completoIp, Ryan H. L. y W. K. Li. "A class of valid Matérn cross-covariance functions for multivariate spatio-temporal random fields". Statistics & Probability Letters 130 (noviembre de 2017): 115–19. http://dx.doi.org/10.1016/j.spl.2017.07.019.
Texto completoPrevost, Paoline, Kristel Chanard, Luce Fleitout, Eric Calais, Damian Walwer, Tonie van Dam y Michael Ghil. "Data-adaptive spatio-temporal filtering of GRACE data". Geophysical Journal International 219, n.º 3 (19 de septiembre de 2019): 2034–55. http://dx.doi.org/10.1093/gji/ggz409.
Texto completoYuan, Wenjing, Lin Yang, Qing Yang, Yehua Sheng y Ziyang Wang. "Extracting Spatio-Temporal Information from Chinese Archaeological Site Text". ISPRS International Journal of Geo-Information 11, n.º 3 (4 de marzo de 2022): 175. http://dx.doi.org/10.3390/ijgi11030175.
Texto completoBulthuis, Kevin y Eric Larour. "Implementation of a Gaussian Markov random field sampler for forward uncertainty quantification in the Ice-sheet and Sea-level System Model v4.19". Geoscientific Model Development 15, n.º 3 (10 de febrero de 2022): 1195–217. http://dx.doi.org/10.5194/gmd-15-1195-2022.
Texto completoSong, Tao, Wei Wei, Fan Meng, Jiarong Wang, Runsheng Han y Danya Xu. "Inversion of Ocean Subsurface Temperature and Salinity Fields Based on Spatio-Temporal Correlation". Remote Sensing 14, n.º 11 (27 de mayo de 2022): 2587. http://dx.doi.org/10.3390/rs14112587.
Texto completoShi, Zhichao y Xiaoguang Zhou. "Spatio-Temporal Dynamic Fields Estimating and Modeling of Missing Points in Data Sets Using a Flexible State-Space Model". Applied Sciences 11, n.º 19 (28 de septiembre de 2021): 9050. http://dx.doi.org/10.3390/app11199050.
Texto completoZhou, Shijie, Robert A. Campbell y Simon D. Hoyle. "Catch per unit effort standardization using spatio-temporal models for Australia’s Eastern Tuna and Billfish Fishery". ICES Journal of Marine Science 76, n.º 6 (11 de marzo de 2019): 1489–504. http://dx.doi.org/10.1093/icesjms/fsz034.
Texto completoRoberts, O. W., X. Li y L. Jeska. "Validation of the <i>k</i>-filtering technique for a signal composed of random-phase plane waves and non-random coherent structures". Geoscientific Instrumentation, Methods and Data Systems 3, n.º 2 (23 de diciembre de 2014): 247–54. http://dx.doi.org/10.5194/gi-3-247-2014.
Texto completoSakuma, Asahi y Hiroya Yamano. "Satellite Constellation Reveals Crop Growth Patterns and Improves Mapping Accuracy of Cropping Practices for Subtropical Small-Scale Fields in Japan". Remote Sensing 12, n.º 15 (28 de julio de 2020): 2419. http://dx.doi.org/10.3390/rs12152419.
Texto completoAhmad, Ola y Christophe Collet. "Scale-space spatio-temporal random fields: Application to the detection of growing microbial patterns from surface roughness". Pattern Recognition 58 (octubre de 2016): 27–38. http://dx.doi.org/10.1016/j.patcog.2016.03.034.
Texto completoVoloshko, V. A. y Yu S. Kharin. "Discrete-valued time series based on the exponential family with the multidimensional parameter and their probabilistic and statistical analysis." Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series 58, n.º 3 (12 de octubre de 2022): 280–91. http://dx.doi.org/10.29235/1561-2430-2022-58-3-280-291.
Texto completoRoberts, O. W., X. Li y L. Jeska. "Validation of the <i>k</i>-filtering technique for a signal composed of random phase plane waves and non-random coherent structures". Geoscientific Instrumentation, Methods and Data Systems Discussions 4, n.º 2 (11 de agosto de 2014): 435–54. http://dx.doi.org/10.5194/gid-4-435-2014.
Texto completoHengl, Tomislav, Madlene Nussbaum, Marvin N. Wright, Gerard B. M. Heuvelink y Benedikt Gräler. "Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables". PeerJ 6 (29 de agosto de 2018): e5518. http://dx.doi.org/10.7717/peerj.5518.
Texto completoStuhlmeier, R. y M. Stiassnie. "Evolution of statistically inhomogeneous degenerate water wave quartets". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376, n.º 2111 (11 de diciembre de 2017): 20170101. http://dx.doi.org/10.1098/rsta.2017.0101.
Texto completoManiyar, Chintan B., Megha Rudresh, Ileana A. Callejas, Katie Osborn, Christine M. Lee, Jennifer Jay, Myles Phillips et al. "Spatio-Temporal Dynamics of Total Suspended Sediments in the Belize Coastal Lagoon". Remote Sensing 15, n.º 23 (4 de diciembre de 2023): 5625. http://dx.doi.org/10.3390/rs15235625.
Texto completoMELGANI, FARID. "CLASSIFICATION OF MULTITEMPORAL REMOTE-SENSING IMAGES BY A FUZZY FUSION OF SPECTRAL AND SPATIO-TEMPORAL CONTEXTUAL INFORMATION". International Journal of Pattern Recognition and Artificial Intelligence 18, n.º 02 (marzo de 2004): 143–56. http://dx.doi.org/10.1142/s0218001404003083.
Texto completoLuo, Yilan, Deniz Sezer, David Wood, Mingkuan Wu y Hamid Zareipour. "Estimation of the Daily Variability of Aggregate Wind Power Generation in Alberta, Canada". Energies 12, n.º 10 (24 de mayo de 2019): 1998. http://dx.doi.org/10.3390/en12101998.
Texto completoVerburg, Samuel A. y Efren Fernandez-Grande. "Sensor placement for sound field reconstruction in enclosures." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, n.º 1 (1 de agosto de 2021): 5424–32. http://dx.doi.org/10.3397/in-2021-3095.
Texto completoVannoppen, Astrid, Anne Gobin, Lola Kotova, Sara Top, Lesley De Cruz, Andris Vīksna, Svetlana Aniskevich et al. "Wheat Yield Estimation from NDVI and Regional Climate Models in Latvia". Remote Sensing 12, n.º 14 (10 de julio de 2020): 2206. http://dx.doi.org/10.3390/rs12142206.
Texto completoYamamoto, A., Y. Hasegawa y N. Kasagi. "Optimal control of dissimilar heat and momentum transfer in a fully developed turbulent channel flow". Journal of Fluid Mechanics 733 (23 de septiembre de 2013): 189–220. http://dx.doi.org/10.1017/jfm.2013.436.
Texto completoMedina-Cetina, Zenon, Ahran Song, Yichuan Zhu, Alma Rosa Pineda-Contreras y Amy Rechenmacher. "Global and Local Deformation Effects of Dry Vacuum-Consolidated Triaxial Compression Tests on Sand Specimens: Making a Database Available for the Calibration and Development of Forward Models". Materials 15, n.º 4 (18 de febrero de 2022): 1528. http://dx.doi.org/10.3390/ma15041528.
Texto completoZhang, Wenmin, Martin Brandt, Alexander V. Prishchepov, Zhaofu Li, Chunguang Lyu y Rasmus Fensholt. "Mapping the Dynamics of Winter Wheat in the North China Plain from Dense Landsat Time Series (1999 to 2019)". Remote Sensing 13, n.º 6 (19 de marzo de 2021): 1170. http://dx.doi.org/10.3390/rs13061170.
Texto completoBogaardt, Laurens, Romulo Goncalves, Raul Zurita-Milla y Emma Izquierdo-Verdiguier. "Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets". ISPRS International Journal of Geo-Information 8, n.º 2 (26 de enero de 2019): 55. http://dx.doi.org/10.3390/ijgi8020055.
Texto completoDuecker, Daniel Andre, Andreas Rene Geist, Edwin Kreuzer y Eugen Solowjow. "Learning Environmental Field Exploration with Computationally Constrained Underwater Robots: Gaussian Processes Meet Stochastic Optimal Control". Sensors 19, n.º 9 (6 de mayo de 2019): 2094. http://dx.doi.org/10.3390/s19092094.
Texto completoPerrard, Stéphane, Adrián Lozano-Durán, Marc Rabaud, Michael Benzaquen y Frédéric Moisy. "Turbulent windprint on a liquid surface". Journal of Fluid Mechanics 873 (28 de junio de 2019): 1020–54. http://dx.doi.org/10.1017/jfm.2019.318.
Texto completoMytnyk, T. H., V. O. Manukalo, O. V. Dubrovina y Mytnyk O.O. "ON THE ISSUE OF SPECIFYING RELIABILITY CRITERIA USED IN AUTOMATED SPACE-TIME CONTROL OF METEOROLOGICAL OBSERVATION DATA". Hydrology, hydrochemistry and hydroecology, n.º 3 (69) (2023): 51–60. http://dx.doi.org/10.17721/2306-5680.2023.3.4.
Texto completoPrasad, Kumar, Marco Ottinger, Chunzhu Wei y Patrick Leinenkugel. "Assessment of Coastal Aquaculture for India from Sentinel-1 SAR Time Series". Remote Sensing 11, n.º 3 (11 de febrero de 2019): 357. http://dx.doi.org/10.3390/rs11030357.
Texto completoZhyla, Simeon, Valerii Volosyuk, Vladimir Pavlikov, Nikolay Ruzhentsev, Eduard Tserne, Anatoliy Popov, Oleksandr Shmatko et al. "Statistical synthesis of aerospace radars structure with optimal spatio-temporal signal processing, extended observation area and high spatial resolution". RADIOELECTRONIC AND COMPUTER SYSTEMS, n.º 1 (23 de febrero de 2022): 178–94. http://dx.doi.org/10.32620/reks.2022.1.14.
Texto completoPostle, Bradley R., Jeffrey S. Berger, Alexander M. Taich y Mark D'Esposito. "Activity in Human Frontal Cortex Associated with Spatial Working Memory and Saccadic Behavior". Journal of Cognitive Neuroscience 12, supplement 2 (noviembre de 2000): 2–14. http://dx.doi.org/10.1162/089892900564028.
Texto completoGitis, Valeri, Alexander Derendyaev y Konstantin Petrov. "Analyzing the Performance of GPS Data for Earthquake Prediction". Remote Sensing 13, n.º 9 (9 de mayo de 2021): 1842. http://dx.doi.org/10.3390/rs13091842.
Texto completoBrewer, Kiara, Alistair Clulow, Mbulisi Sibanda, Shaeden Gokool, Vivek Naiken y Tafadzwanashe Mabhaudhi. "Predicting the Chlorophyll Content of Maize over Phenotyping as a Proxy for Crop Health in Smallholder Farming Systems". Remote Sensing 14, n.º 3 (21 de enero de 2022): 518. http://dx.doi.org/10.3390/rs14030518.
Texto completoFUNKE, KLAUS y ULF T. EYSEL. "Inverse correlation of firing patterns of single topographically matched perigeniculate neurons and cat dorsal lateral geniculate relay cells". Visual Neuroscience 15, n.º 4 (abril de 1998): 711–29. http://dx.doi.org/10.1017/s0952523898154111.
Texto completoAkbari, Elahe, Ali Darvishi Boloorani, Jochem Verrelst, Stefano Pignatti, Najmeh Neysani Samany, Saeid Soufizadeh y Saeid Hamzeh. "Biophysical Variable Retrieval of Silage Maize with Gaussian Process Regression and Hyperparameter Optimization Algorithms". Remote Sensing 15, n.º 14 (24 de julio de 2023): 3690. http://dx.doi.org/10.3390/rs15143690.
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