Literatura académica sobre el tema "Recursive Bayesian estimation"
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Artículos de revistas sobre el tema "Recursive Bayesian estimation"
Kárný, Miroslav. "Approximate Bayesian recursive estimation". Information Sciences 285 (noviembre de 2014): 100–111. http://dx.doi.org/10.1016/j.ins.2014.01.048.
Texto completoKarlsson, R. y F. Gustafsson. "Recursive Bayesian estimation: bearings-only applications". IEE Proceedings - Radar, Sonar and Navigation 152, n.º 5 (2005): 305. http://dx.doi.org/10.1049/ip-rsn:20045073.
Texto completoThiemann, M., M. Trosset, H. Gupta y S. Sorooshian. "Bayesian recursive parameter estimation for hydrologic models". Water Resources Research 37, n.º 10 (octubre de 2001): 2521–35. http://dx.doi.org/10.1029/2000wr900405.
Texto completoJemmott, Colin W. y R. Lee Culver. "Recursive Bayesian state estimation for passive sonar localization." Journal of the Acoustical Society of America 127, n.º 3 (marzo de 2010): 1960. http://dx.doi.org/10.1121/1.3385007.
Texto completoKramer, Stuart C. y Harold W. Sorenson. "Recursive Bayesian estimation using piece-wise constant approximations". Automatica 24, n.º 6 (noviembre de 1988): 789–801. http://dx.doi.org/10.1016/0005-1098(88)90055-6.
Texto completoVasudevan, Sathyanarayanan, Richard H. Anderson, Shawn Kraut, Peter Gerstoft, L. Ted Rogers y Jeffrey L. Krolik. "Recursive Bayesian electromagnetic refractivity estimation from radar sea clutter". Radio Science 42, n.º 2 (abril de 2007): n/a. http://dx.doi.org/10.1029/2005rs003423.
Texto completoAnyfantaki, Sofia y Antonis Demos. "Estimation and Properties of a Time-Varying GQARCH(1,1)-M Model". Journal of Probability and Statistics 2011 (2011): 1–39. http://dx.doi.org/10.1155/2011/718647.
Texto completoOdo, Wataru, Daisuke Kimoto, Makoto Kumon y Tomonari Furukawa. "Active Sound Source Localization by Pinnae with Recursive Bayesian Estimation". Journal of Robotics and Mechatronics 29, n.º 1 (20 de febrero de 2017): 49–58. http://dx.doi.org/10.20965/jrm.2017.p0049.
Texto completoTagade, Piyush, Krishnan S. Hariharan, Priya Gambhire, Subramanya Mayya Kolake, Taewon Song, Dukjin Oh, Taejung Yeo y Seokgwang Doo. "Recursive Bayesian filtering framework for lithium-ion cell state estimation". Journal of Power Sources 306 (febrero de 2016): 274–88. http://dx.doi.org/10.1016/j.jpowsour.2015.12.012.
Texto completoChen, Yanbo, Feng Liu, Shengwei Mei, Guangyu He, Qiang Lu y Yanlan Fu. "An Improved Recursive Bayesian Approach for Transformer Tap Position Estimation". IEEE Transactions on Power Systems 28, n.º 3 (agosto de 2013): 2830–41. http://dx.doi.org/10.1109/tpwrs.2013.2248761.
Texto completoTesis sobre el tema "Recursive Bayesian estimation"
Hanif, A. "Computational intelligence sequential Monte Carlos for recursive Bayesian estimation". Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1403732/.
Texto completoBaziw, Erick. "Application of Bayesian recursive estimation for seismic signal processing". Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/30715.
Texto completoScience, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
Rosén, Olov. "Parallel Stochastic Estimation on Multicore Platforms". Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246859.
Texto completoCoDeR-MP
Misirli, Baysal Feyzan. "Improving efficiency and effectiveness of Bayesian recursive parameter estimation for hydrologic models". Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280488.
Texto completoTowler, Jerry Alwynne. "Autonomous Aerial Localization of Radioactive Point Sources via Recursive Bayesian Estimation and Contour Analysis". Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/43465.
Texto completoPerforming this autonomous analysis comprises five major steps: ingress from a base of operations to the danger zone, initial detection of radioactive material, measurement of the strength of radioactive emissions, analysis of the data to provide position and intensity estimates, and finally egress from the area of interest back to the launch site. In all five steps, time is of critical importance: faster responses promise potentially saved lives.
A time-optimal ingress and egress path planning method solves the first and last steps. Vehicle capabilities and instrument sensitivity inform the development of an efficient search path within the area of interest. Two algorithmsâ a grid-based recursive Bayesian estimator and a novel radiation contour analysis methodâ are presented to estimate the position of radioactive sources using simple gross gamma ray event count data from a nondirectional radiation detector. The latter procedure also correctly estimates the number of sources present and their intensities.
Ultimately, a complete unsupervised mission is developed, requiring minimal initial operator interaction, that provides accurate characterization of the radiation environment of an area of interest as quickly as reasonably possible.
Master of Science
Lavis, Benjamin Mark Mechanical & Manufacturing Engineering Faculty of Engineering UNSW. "Spatially reconfigurable and non-parametric representation of dynamic bayesian beliefs". Publisher:University of New South Wales. Mechanical & Manufacturing Engineering, 2008. http://handle.unsw.edu.au/1959.4/41468.
Texto completoTong, Xianqiao. "Real-time Prediction of Dynamic Systems Based on Computer Modeling". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/47361.
Texto completoPh. D.
Takami, Kuya. "Non-Field-of-View Acoustic Target Estimation". Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/56892.
Texto completoPh. D.
Steckenrider, John J. "Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification". Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/81752.
Texto completoMaster of Science
Humans have an outstanding ability to understand things about the world around them. We learn from our youngest years how to make sense of things and perceive our environment even when it is not easy. To do this, we inherently think in terms of probabilities, updating our belief as we gain new information. The methods introduced here allow an autonomous system to think similarly, by applying a fairly common probabilistic technique to the task of perception and classification. In particular, road cracks are observed and classified using these methods, in order to develop an autonomous road condition monitoring system. The results of this research are promising; cracks are identified and correctly categorized with 92% accuracy, and the additional “intelligence” of the system leads to a 33% improvement in road crack assessment. These methods could be applied in a variety of contexts as the leading edge of robotics research seeks to develop more robust and human-like ways of perceiving the world.
Ndiour, Ibrahima Jacques. "Dynamic curve estimation for visual tracking". Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37283.
Texto completoLibros sobre el tema "Recursive Bayesian estimation"
Recursive nonlinear estimation: A geometric approach. Berlin: Springer, 1996.
Buscar texto completoRecursive Identification and Parameter Estimation. Taylor & Francis Group, 2014.
Buscar texto completoChen, Hanfu y Wenxiao Zhao. Recursive Identification and Parameter Estimation. Taylor & Francis Group, 2017.
Buscar texto completoCapítulos de libros sobre el tema "Recursive Bayesian estimation"
Catlin, Donald E. "Recursive Linear Estimation (Bayesian Estimation)". En Estimation, Control, and the Discrete Kalman Filter, 125–32. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4528-5_6.
Texto completoEftekhar Azam, Saeed. "Recursive Bayesian Estimation of Partially Observed Dynamic Systems". En Online Damage Detection in Structural Systems, 7–55. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02559-9_2.
Texto completoPardalos, P., V. Yatsenko y S. Butenko. "Robust Recursive Bayesian Estimation and Quantum Minimax Strategies". En Applied Optimization, 213–32. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/0-306-47536-7_11.
Texto completoMoghadamfalahi, Mohammad, Murat Akcakaya y Deniz Erdogmus. "Active Recursive Bayesian State Estimation for Big Biological Data 1". En Signal Processing and Machine Learning for Biomedical Big Data, 115–32. Boca Raton : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781351061223-6.
Texto completoTatsis, Konstantinos E., Vasilis K. Dertimanis y Eleni N. Chatzi. "Adaptive Process and Measurement Noise Identification for Recursive Bayesian Estimation". En Model Validation and Uncertainty Quantification, Volume 3, 361–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47638-0_39.
Texto completoKárný, Miroslav y Ivan Nagy. "Recursive Least Squares Approximation of Bayesian Non-Gaussian/Non-Linear Estimation". En Mutual Impact of Computing Power and Control Theory, 123–34. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2968-2_8.
Texto completoMisirli, Feyzan, Hoshin V. Gupta, Soroosh Sorooshian y Michael Thiemann. "Bayesian recursive estimation of parameter and output uncertainty for watershed models". En Water Science and Application, 113–24. Washington, D. C.: American Geophysical Union, 2003. http://dx.doi.org/10.1029/ws006p0113.
Texto completoAstroza, Rodrigo, Hamed Ebrahimian y Joel P. Conte. "Batch and Recursive Bayesian Estimation Methods for Nonlinear Structural System Identification". En Springer Series in Reliability Engineering, 341–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52425-2_15.
Texto completoMomani, Mohammad y Subhash Chall. "Probabilistic Modelling and Recursive Bayesian Estimation of Trust in Wireless Sensor Networks". En Bayesian Network. Sciyo, 2010. http://dx.doi.org/10.5772/10060.
Texto completo"Recursive WeissWeinstein Lower Bounds for DiscreteTime Nonlinear Filtering". En Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking. IEEE, 2009. http://dx.doi.org/10.1109/9780470544198.ch71.
Texto completoActas de conferencias sobre el tema "Recursive Bayesian estimation"
Suvorova, Sofia, Stephen Howard y Bill Moran. "Bayesian recursive estimation on the rotation group". En ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638900.
Texto completoRistic, Branko y Alfonso Farina. "Recursive Bayesian state estimation from Doppler-shift measurements". En 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2011. http://dx.doi.org/10.1109/issnip.2011.6146626.
Texto completoAndersonl, Robert Blake, Mitch Pryor y Sheldon Landsberger. "Mobile Robotic Radiation Surveying Using Recursive Bayesian Estimation". En 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE). IEEE, 2019. http://dx.doi.org/10.1109/coase.2019.8843064.
Texto completoRust y Jordan. "Recursive Bayesian Estimation Of Effective Defibrillation Shock Intensities". En Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.595759.
Texto completoRust, L. M. y J. B. Jordan. "Recursive Bayesian estimation of effective defibrillation shock intensities". En 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5761149.
Texto completoKumon, Makoto, Daisuke Kimoto, Kuya Takami y Tomonari Furukawa. "Acoustic recursive Bayesian estimation for non-field-of-view targets". En 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS). IEEE, 2013. http://dx.doi.org/10.1109/wiamis.2013.6616161.
Texto completoMarghi, Yeganeh M., Aziz Kocanaogullari, Murat Akcakaya y Deniz Erdogmus. "A History-based Stopping Criterion in Recursive Bayesian State Estimation". En ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683726.
Texto completoBender, Matt J., Hunter M. McClelland, Andrew Kurdila y Rolf Mueller. "Recursive Bayesian Estimation of Bat Flapping Flight Using Kinematic Trees". En AIAA Modeling and Simulation Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-0945.
Texto completoXiang, Yijian, Murat Akcakaya, Satyabrata Sen, Deniz Erdogmus y Arye Nehorai. "Target tracking via recursive Bayesian state estimation in radar networks". En 2017 51st Asilomar Conference on Signals, Systems, and Computers. IEEE, 2017. http://dx.doi.org/10.1109/acssc.2017.8335475.
Texto completoWang, Lan, Jinghao Zheng, Fangfang Chen y Jisheng Dai. "Sparse Bayesian Learning for DOA Estimation with Recursive Grid-Refining". En 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2018. http://dx.doi.org/10.1109/sam.2018.8448577.
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