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Temporal adaptation control for local tone mapping operator

Reproduction for Digital Images”, ACM Trans. Graphics , vol. 21, no. 3, pp. 267–276, 2002 [doi: 0.1145/566654.566575]. [4] S. B. Kang, M. Uyttendaele, S. Winder and R. Szeliski, “High Dynamic Range Video”, ACM Trans. Graphics , vol. 22, no. 3, pp. 319–325, 2003 [doi: 10.1145/882262.882270]. [5] S. D. Ramsey, J. T. Johnson and C. Hansen, “Adaptive Temporal Tone Mapping”, Proc. 7th IASTED International Conference on Computer Graphics and Imaging , pp. 124–128, 2004. [6] C. Kiser, E. Reinhard, M. Tocci and N. Tocci, “Real Time Automated Tone Mapping System

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The role of sampling strategy on apparent temporal stability of soil moisture under subtropical hydroclimatic conditions

., Melone, F., Moramarco, T., Morbidelli, R., 2010. Spatial-temporal variability of soil moisture and its estimation across scales. Water Resour. Res., 46, W02516. Burns, T.T., Berg, A.A., Cockburn, J., Tetlock, E., 2016. Regional scale spatial and temporal variability of soil moisture in a prairie region. Hydrol. Process., 30, 3639–3649. Buttafuoco, G., Castrignanò, A., Castrignano, E., Dimase, A.C., 2005. Studying the spatial structure evolution of soil water content using multivariate geostatistics. J. Hydrol., 311, 202–218. Canton, V., Rodríguez

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Ponded infiltration in a grid of permanent single-ring infiltrometers: Spatial versus temporal variability

REFERENCES Angulo-Jaramillo, R., Thony, J.L., Vachaud, G., Moreno, F., Fernández Boy, M.E., Cayuela, J.A., Clothier, B.E., 1997. Seasonal variation of hydraulic properties of soils measured using a tension disk infiltrometer. Soil Sci. Soc. Am. J., 61, 1, 27–32. Bagarello, V., Sgroi, A., 2004. Using the single-ring infiltrometer method to detect temporal changes in surface soil field-saturated hydraulic conductivity. Soil & Tillage Research, 76, 1, 13–24. Braud, I., De Condappa, D., Soria, J.M., Haverkamp, R., Angulo-Jaramillo, R., Galle, S

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Effect of temporal averaging of meteorological data on predictions of groundwater recharge

management challenge. Water Resour. Res., 51, 3031–3051, DOI: 10.1002/2014WR016825. Harman, C.J., Rao, P.S.C., Basu, N.B., McGrath, G.S., Kumar, P., Sivapalan, M., 2011. Climate, soil, and vegetation controls on the temporal variability of vadose zone transport. Water Resour. Res., 47, W00J13 INMET, 2015. Instituto Nacional de Meteorologia, Ministério da Agricultura, Pecuária e Abastecimento < http://www.inmet.gov.br/portal/index.php?r=bdmep/bdmep >, Brazil. Jasechko, S., Taylor, R.G., 2015. Intensive rainfall recharges tropical groundwaters Environ. Res

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Spatial-Temporal Monitoring of Groundwater Using Multivariate Statistical Techniques in Bareilly District of Uttar Pradesh, India

.M., FERNA′NDEZ L., 2000: Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga river, Spain) by principal component analysis. Water Research. , 34, 807-816. KIM J.H., KIM R.H., LEE J., CHEONG T.J., YUM B.W., CHANG H.W., 2005: Multivariate statistical analysis to identify the major factors governing groundwater quality in the coastal area of Kimje, South Korea. Hydrological Processes , 19, 1261-1276. KIM J.O., MUELLER C.W., 1987: Introduction to factor analysis: what it is and how to do it

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On the Optimum Architecture of the Biologically Inspired Hierarchical Temporal Memory Model Applied to the Hand-Written Digit Recognition

hierarchical Bayesian network. In: Proc. 19th Australian Joint Conf. on Artificial Intelligence, Hobart, Australia. pp. 1259-1264. Thornton, J. R., Faichney, J., Blumenstein, M., Hine, T. (2008). Character recognition using hierarchical vector quantization and temporal pooling. In: Wobcke, W., Zhang, M. (eds.) Proc 21st Australasian Joint Conf. Artificial Intelligence , Vol. Lecture Notes in Computer Science. pp. 562-572. Bobier, B. (2007). Hand-written digit recognition using Hierarchical Temporal Memory. http

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Spatial and Temporal Variability of Snow Isotopic Composition on Mt. Zugspitze, Bavarian Alps, Germany

-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris, 81 p. Hashimoto, S., Shiqiao, Z., Nakawo, M., Sakai, A., Ageta, Y., Ishikawa N., Narita, H., 2002. Isotope studies of inner snow layers in a temperate region. Hydrol. Process., 16, 2209-2220. Holko, L., 1995. Stable environmental isotopes of 18O and 2H in hydrological research of mountainous catchment. J. Hydrol. Hydromech., 43, 249-274. Holko, L., Danko, M., Dósa, Kostka, Z., Sanda, M., Pfister, L, Iffly, J.F., 2013. Spatial and temporal

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Numerical treatment of the spatio-temporal electromagnetic beam-wave packet

Abstract

Propagation of a two-dimensional spatio-temporal electromagnetic beam wave is analysed. In parabolic (paraxial) approximation the exact analytical results for a spatio-temporal Gaussian impulse can be obtained. For solution of the full wave equation the numerical simulation has to be used. The various facets of this simulation are discussed here.

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Temporal Analysis Of Adaptive Face Recognition

Abstract

Aging has profound effects on facial biometrics as it causes change in shape and texture. However, aging remains an under-studied problem in comparison to facial variations due to pose, illumination and expression changes. A commonly adopted solution in the state-of-the-art is the virtual template synthesis for aging and de-aging transformations involving complex 3D modelling techniques. These methods are also prone to estimation errors in the synthesis. Another viable solution is to continuously adapt the template to the temporal variation (ageing) of the query data. Though efficacy of template update procedures has been proven for expression, lightning and pose variations, the use of template update for facial aging has not received much attention so far. Therefore, this paper first analyzes the performance of existing baseline facial representations, based on local features, under ageing effect then investigates the use of template update procedures for temporal variance due to the facial age progression process. Experimental results on FGNET and MORPH aging database using commercial VeriLook face recognition engine demonstrate that continuous template updating is an effective and simple way to adapt to variations due to the aging process.

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Numerical Study on Temporal Domain Discretizing for Hydrogeological Modeling Practices

Abstract

One of the key operations in the construction of hydrogeological models is the transformation of continuous physical systems into discrete models while conserving the aimed model performance level and optimizing the available resources. Such operation is called discretization, and it has to be applied to both spatial and temporal domains in hydrogeology. The present paper deals with the temporal domain discretization. A literature review is given first, and then a parametric study (using 1D flow modeling) is conducted to assess the effects induced by boundary conditions (specified head or specified recharge rate), data temporal resolution and model simulation time step on hydrogeological flow model performances. It was found that the effect induced by the dynamic comportment of a recharge rate boundary condition type is more important than that due to a specified head. For the recharge rate, the time step must be smaller or equal to the data resolution when using Modflow. As for a specified head boundary condition type, it was recommended to take a time step satisfying Δt∞1/(K × Δh).

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