Academic literature on the topic 'Range estimating'
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Journal articles on the topic "Range estimating"
De Haan, L., and Sidney Resnick. "Estimating the home range." Journal of Applied Probability 31, no. 3 (September 1994): 700–720. http://dx.doi.org/10.2307/3215149.
Full textDallas, Tad, Shan Huang, Charles Nunn, Andrew W. Park, and John M. Drake. "Estimating parasite host range." Proceedings of the Royal Society B: Biological Sciences 284, no. 1861 (August 30, 2017): 20171250. http://dx.doi.org/10.1098/rspb.2017.1250.
Full textSu, C. C., A. Bovik, and L. Cormack. "ESTIMATING RANGE FROM LUMINANCE." Journal of Vision 12, no. 9 (August 10, 2012): 278. http://dx.doi.org/10.1167/12.9.278.
Full textDe Haan, L., and Sidney Resnick. "Estimating the home range." Journal of Applied Probability 31, no. 03 (September 1994): 700–720. http://dx.doi.org/10.1017/s0021900200045277.
Full textLipman, Harvey B., and J. Rex Astles. "Estimating the linear analytic range." Clinica Chimica Acta 282, no. 1-2 (April 1999): 15–34. http://dx.doi.org/10.1016/s0009-8981(98)00219-8.
Full textFox, N. I., and C. G. Collier. "Estimating medium-range catchment flood potential." Journal of Hydrology 237, no. 1-2 (October 2000): 1–16. http://dx.doi.org/10.1016/s0022-1694(00)00285-7.
Full textMerz, A. W. "Estimating retrosensor position from range data." Journal of Guidance, Control, and Dynamics 14, no. 5 (September 1991): 1071–72. http://dx.doi.org/10.2514/3.20755.
Full textZhao, Xiaofeng, Caglar Yardim, Dongxiao Wang, and Bruce M. Howe. "Estimating Range-Dependent Evaporation Duct Height." Journal of Atmospheric and Oceanic Technology 34, no. 5 (May 2017): 1113–23. http://dx.doi.org/10.1175/jtech-d-16-0125.1.
Full textShaheen, Ahmed A., Aminah Robinson Fayek, and S. M. AbouRizk. "Fuzzy Numbers in Cost Range Estimating." Journal of Construction Engineering and Management 133, no. 4 (April 2007): 325–34. http://dx.doi.org/10.1061/(asce)0733-9364(2007)133:4(325).
Full textFredlund, Delwyn G., Daichao Sheng, and Jidong Zhao. "Estimation of soil suction from the soil-water characteristic curve." Canadian Geotechnical Journal 48, no. 2 (February 2011): 186–98. http://dx.doi.org/10.1139/t10-060.
Full textDissertations / Theses on the topic "Range estimating"
Baird, Duncan L. (Duncan Lea). "Dynamically estimating mobile range camera pose from invariant feature measurements." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=26372.
Full textWe examine the problem of determining the pose of a robot-mounted range-finding camera, and present a class of solutions motivated by the idea that mobile camera calibration is best addressed by an ongoing dynamic estimation process. We use range measurements and known robot kinematics to provide the estimate of camera pose which is maximally consistent with the available data. Our scheme uses scene features that are often present in typical workcell scenes and that are easily and reliably extracted. We develop several formulations of the principles, and present experimental results for both simulated and real data sets.
Henkel, Hartmuth. "Range-based parameter estimation in diffusion models." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2010. http://dx.doi.org/10.18452/16213.
Full textWe study the behavior of the maximum, the minimum and the terminal value of time-homogeneous one-dimensional diffusions on finite time intervals. To begin with, we prove an existence result for the joint density by means of Malliavin calculus. Moreover, we derive expansions for the joint moments of the triplet (H,L,X) at time Delta w.r.t. Delta. Here, X stands for the underlying diffusion whereas H and L denote its running maximum and its running minimum, respectively. In a first approach that entirely relies on elementary estimates, such as Doob’s inequality and Cauchy-Schwarz’ inequality, we derive an expansion w.r.t. the square root of the time parameter Delta including powers of 2. A more sophisticated ansatz uses partial differential equation techniques to determine an expansion of the one-barrier hitting time probability for pinned diffusions. For an expansion of the transition density of diffusions is known, one obtains an overall expansion of the joint probability of (H,X) w.r.t. Delta. The developed distributional properties enable us to establish a theory for martingale estimating functions constructed from range-based data in a parameterized diffusion model. A small-Delta-optimality approach, that uses the approximated moments, yields a simplification of the relatively complicated estimating procedure and we obtain asymptotic optimality results when the sampling frequency Delta tends to 0. When it comes to estimating the drift coefficient the range-based method is not superior to the method relying on equidistant observations of the underlying diffusion alone. However, there is an enormous gain in efficiency at the estimation for the diffusion coefficient. Incorporating the maximum and the minimum into the analysis significantly lowers the asymptotic variance of the estimators for the parameter in this scenario.
Karanci, Huseyin. "A Comparative Study Of Regression Analysis, Neural Networks And Case." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612514/index.pdf.
Full textduring conceptual (early) cost estimation, achieving high accuracy is very difficult. The level of uncertainty included in the cost estimations should be emphasized for making correct decisions throughout the dynamic stages of construction project management process, especially during early stages. By using range estimating, the level of uncertainties can be identified in cost estimations. This study represents integrations of parametric and probabilistic cost estimation techniques in a comparative base. Combinations of regression analysis, neural networks, case &ndash
based reasoning and bootstrap method are proposed for the conceptual (early) range cost estimations of mass housing projects. Practical methods for early range cost estimation of mass housing projects are provided for construction project management professionals. The methods are applied using bid offers of a Turkish contractor given for 41 mass housing projects. The owner of all projects is Housing Development Administration of Turkey (TOKI). The mass housing projects of TOKI are generally a mix of apartment blocks, social, health and educational facilities, and some projects may also have mosques. Results of the three different approaches are compared for predictive accuracy and predictive variability, and suggestions for early range cost estimation of construction projects are made.
Vivero, Oskar. "Estimation of long-range dependence." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/estimation-of-longrange-dependence(65565876-4ec6-44b3-8181-51b13dca309c).html.
Full textAlleyne, Jason C. "Position estimation from range only measurements." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA386399.
Full textThesis advisor(s): Healey, Anthony J. "September 2000." Includes bibliographical references (p. 89). Also available online.
Whaley, Dewey Lonzo. "The Interquartile Range: Theory and Estimation." Digital Commons @ East Tennessee State University, 2005. https://dc.etsu.edu/etd/1030.
Full textGal, Avner. "Passive range estimation using over sea multipath." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23344.
Full textNygaard, John Charles. "Estimation of range error in bistatic sonar." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/30970.
Full textChuang, Ping Derg. "Range estimation by cepstral techniques in image processing." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/37973.
Full textSand, Peter (Peter M. ). 1977. "Long-range video motion estimation using point trajectories." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38319.
Full textIncludes bibliographical references (leaves 97-104).
This thesis describes a new approach to video motion estimation, in which motion is represented using a set of particles. Each particle is an image point sample with a long-duration trajectory and other properties. To optimize these particles, we measure point-based matching along the particle trajectories and distortion between the particles. The resulting motion representation is useful for a variety of applications and differs from optical flow, feature tracking, and parametric or layer-based models. We demonstrate the algorithm on challenging real-world videos that include complex scene geometry, multiple types of occlusion, regions with low texture, and non-rigid deformation.
by Peter Sand.
Ph.D.
Books on the topic "Range estimating"
N, Forrest R. Estimating search effectiveness with limited information. Monterey, Calif: Naval Postgraduate School, 1993.
Find full textNev.) Nevada Fiscal Forum (2000 Las Vegas. General fund long-range forecast: Presented at the Nevada Fiscal Forum, Las Vegas, Nevada, May 2000. Las Vegas, Nevada]: State of Nevada, Department of Administration, 2000.
Find full textDavenport, J. C. Estimating Los Angeles degradation value using the Schmidt rebound hammer along the Front Range, Colorado. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.
Find full textProjections, Convention on Long-range Transboundary Air Pollution Task Force on Emission Inventories and. Guidelines for estimating and reporting emission data under the Convention on Long-range Transboundary Air Pollution. New York: United Nations, 2003.
Find full textAlleyne, Jason C. Position estimation from range only measurements. Monterey, Calif: Naval Postgraduate School, 2000.
Find full textGal, Avner. Passive range estimation using over sea multipath. Monterey, California: Naval Postgraduate School, 1988.
Find full textSkifstad, Kurt D. High-speed range estimation based on intensity gradient analysis. New York: Springer-Verlag, 1991.
Find full textSkifstad, Kurt D. High-Speed Range Estimation Based on Intensity Gradient Analysis. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3112-7.
Full textSkifstad, Kurt D. High-speed range estimation based on intensity gradient analysis. New York: Springer-Verlag, 1991.
Find full textHigh-speed range estimation based on intensity gradient analysis. New York: Springer-Verlag, 1991.
Find full textBook chapters on the topic "Range estimating"
Dominguez-Jimenez, J. A., and Javier Campillo. "Object-Oriented Mathematical Modeling for Estimating Electric Vehicle’s Range Using Modelica." In Communications in Computer and Information Science, 444–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98998-3_34.
Full textBuccafurri, Francesco, Filippo Furfaro, and Domenico Saccà. "Estimating Range Queries Using Aggregate Data with Integrity Constraints: A Probabilistic Approach." In Database Theory — ICDT 2001, 390–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44503-x_25.
Full textGu, Wenhao, Cong Gao, Robert Grupp, Javad Fotouhi, and Mathias Unberath. "Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients." In Machine Learning in Medical Imaging, 281–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59861-7_29.
Full textDomańska, Joanna, Adam Domański, and Tadeusz Czachórski. "Estimating the Intensity of Long-Range Dependence in Real and Synthetic Traffic Traces." In Computer Networks, 11–22. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19419-6_2.
Full textMandolini, Marco, Federico Campi, Claudio Favi, Paolo Cicconi, Michele Germani, and Roberto Raffaeli. "Parametric Cost Modelling for Investment Casting." In Lecture Notes in Mechanical Engineering, 386–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_61.
Full textSen, Arijit, and Amin Al-Habaibeh. "A Novel Approach for U-Value Estimation of Buildings’ Multi-layer Walls Using Infrared Thermography and Artificial Intelligence." In Springer Proceedings in Energy, 35–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_5.
Full textTsai, Ping Chen, and Shou Huang Dai. "Estimating the Proportion of Informed Traders in BTC-USD Market Using Spread and Range." In Advanced Studies of Financial Technologies and Cryptocurrency Markets, 197–210. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4498-9_11.
Full textBianco, Giovanni Lo, Xavier Lorca, and Charlotte Truchet. "Estimating the Number of Solutions of Cardinality Constraints Through $$\texttt {range}$$ and $$\texttt {roots}$$ Decompositions." In Lecture Notes in Computer Science, 317–32. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30048-7_19.
Full textHlawatsch, Franz. "Range-Doppler Estimation." In The Kluwer International Series in Engineering and Computer Science, 173–94. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2815-6_8.
Full textSpies, Hagen, Horst Haußecker, Bernd Jähne, and John L. Barron. "Differential Range Flow Estimation." In Informatik aktuell, 309–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60243-6_36.
Full textConference papers on the topic "Range estimating"
Gueler, Richard, Craig Olson, and Andrew Sparks. "Estimating uncertainty in limiting resolution of full motion video." In Long-Range Imaging III, edited by Eric J. Kelmelis. SPIE, 2018. http://dx.doi.org/10.1117/12.2304052.
Full textHådem, I. "Estimating approximate values before bundle adjustment in close-range photogrammetry: a review." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294373.
Full textS. Martins, Saulo, Luis A. Peche, and Jandyr M. Travassos. "Estimating The Energy Range Along A Surficial Waveguide." In IV Simpósio Brasileiro de Geofísica. European Association of Geoscientists & Engineers, 2010. http://dx.doi.org/10.3997/2214-4609-pdb.197.sbgf_2149.
Full textS. Martins, Saulo, Luis A. Peche, and Jandyr M. Travassos. "Estimating the energy range along a surficial waveguide." In Simpósio Brasileiro de Geofísica. Sociedade Brasileira de Geofísica, 2010. http://dx.doi.org/10.22564/4simbgf2010.128.
Full textBorzino, Angelo M. C. R., Jose A. Apolinario, and Marcello L. R. de Campos. "Estimating direction of arrival of long range gunshot signals." In 2014 International Telecommunications Symposium (ITS). IEEE, 2014. http://dx.doi.org/10.1109/its.2014.6947995.
Full textDogandzic, A., and A. Nehorai. "Estimating range, velocity, and direction with a radar array." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.761319.
Full textYang, Chun, and Erik Blasch. "Estimating target range-Doppler image slope for maneuver indication." In SPIE Defense and Security Symposium, edited by Ivan Kadar. SPIE, 2008. http://dx.doi.org/10.1117/12.776697.
Full textHutchison, Matthew. "A Method for Estimating Range Requirements of Tactical Reconnaissance UAVs." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3438.
Full textRosales-Morales, Sergio A., and Luz A. Torres-Méndez. "A Statistical Analysis of Visual Cues for Estimating Dense Range Maps." In 2008 Seventh Mexican International Conference on Artificial Intelligence (MICAI). IEEE, 2008. http://dx.doi.org/10.1109/micai.2008.57.
Full textLandman, C., and A. J. Rix. "Using cloud cover forecasts for estimating a solar powered vehicles' range." In 2020 International SAUPEC/RobMech/PRASA Conference. IEEE, 2020. http://dx.doi.org/10.1109/saupec/robmech/prasa48453.2020.9041040.
Full textReports on the topic "Range estimating"
Harrod, Richy J., William L. Gaines, William E. Hartl, and Ann Camp. Estimating historical snag density in dry forests east of the Cascade Range. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1998. http://dx.doi.org/10.2737/pnw-gtr-428.
Full textDime, Roselle, Juzhong Zhuang, and Edimon Ginting. Estimating Fiscal Multipliers in Selected Asian Economies. Asian Development Bank, August 2021. http://dx.doi.org/10.22617/wps210309-2.
Full textDickens, Brian, and Eric Byrd. Programs to Estimate UV Dosage and Damage. National Institute of Standards and Technology, September 1999. http://dx.doi.org/10.6028/nist.ir.7500.
Full textPietra, S. D., V. D. Pietra, J. Gillett, J. Lafferty, and H. Printz. Inference and Estimation of a Long-Range Trigram Model. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada286057.
Full textJackson, Douglas E., and Malcolm J. Ree. Tool for Studying the Effects of Range Restriction in Correlation Coefficient Estimation. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada224035.
Full textBrandt, Michael, and Francis Diebold. A No-Arbitrage Approach to Range-Based Estimation of Return Covariances and Correlations. Cambridge, MA: National Bureau of Economic Research, May 2003. http://dx.doi.org/10.3386/w9664.
Full textErwin, R. S., and Dennis S. Bernstein. Spacecraft Trajectory Estimation Using a Sampled-Data Extended Kalman Filter with Range-Only Measurements. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada439012.
Full textAlizadeh, Sassan, Michael Brandt, and Francis Diebold. High- and Low-Frequency Exchange Rate Volatility Dynamics: Range-Based Estimation of Stochastic Volatility Models. Cambridge, MA: National Bureau of Economic Research, March 2001. http://dx.doi.org/10.3386/w8162.
Full textDowning, W. Logan, Howell Li, William T. Morgan, Cassandra McKee, and Darcy M. Bullock. Using Probe Data Analytics for Assessing Freeway Speed Reductions during Rain Events. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317350.
Full textManninen, Terhikki, and Pauline Stenberg. Influence of forest floor vegetation on the total forest reflectance and its implications for LAI estimation using vegetation indices. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361379.
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