Littérature scientifique sur le sujet « Space-time features »

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Articles de revues sur le sujet "Space-time features"

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Zambotti, G., W. Guan, and J. Gest. "VISUALIZING HUMAN MIGRATION TRHOUGH SPACE AND TIME." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (July 10, 2015): 155–61. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-155-2015.

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Human migration has been an important activity in human societies since antiquity. Since 1890, approximately three percent of the world’s population has lived outside of their country of origin. As globalization intensifies in the modern era, human migration persists even as governments seek to more stringently regulate flows. Understanding this phenomenon, its causes, processes and impacts often starts from measuring and visualizing its spatiotemporal patterns. This study builds a generic online platform for users to interactively visualize human migration through space and time. This entails
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Kobro, Katarzyna, and Władysław Strzemiński. "Composing Space/Calculating Space-Time Rhythms." October 156 (May 2016): 12–74. http://dx.doi.org/10.1162/octo_a_00251.

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In this treatise, Katarzyna Kobro and Władysław Strzemiński distinguish between the condition of painting (which features a picture on a support with physical imits) and of sculpture (which involves space, which is limitless) and propose that the ways in which each medium determines its own essence must be fundamentally different. While painting relies on what would later be called “deductive structure,” in sculpture the issue is how to relate the object to space. After conducting a chronological examination of the different ways in which the sculptural object has related to space (in the Anci
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Mitroff, Stephen R., and George A. Alvarez. "Space and time, not surface features, guide object persistence." Psychonomic Bulletin & Review 14, no. 6 (2007): 1199–204. http://dx.doi.org/10.3758/bf03193113.

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Rebouças, M. J., and A. F. F. Teixeira. "Features of a relativistic space-time with seven isometries." Physical Review D 34, no. 10 (1986): 2985–89. http://dx.doi.org/10.1103/physrevd.34.2985.

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李, 宝芬. "Time-Space Distribution Features of Annual Precipitation in Kunming." Journal of Water Resources Research 05, no. 02 (2016): 182–89. http://dx.doi.org/10.12677/jwrr.2016.52024.

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Maneuf, S., A. Barthelemy, and C. Froehly. "Soliton beam propagation; space-time behaviour and spectral features." Journal of Optics 17, no. 3 (1986): 139–45. http://dx.doi.org/10.1088/0150-536x/17/3/004.

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Moore, Cathleen M., Teresa Stephens, and Elisabeth Hein. "Features, as well as space and time, guide object persistence." Psychonomic Bulletin & Review 17, no. 5 (2010): 731–36. http://dx.doi.org/10.3758/pbr.17.5.731.

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Chaplya, Tatyana V. "ARCHITECTURAL SPACE OF THE NEW TIME: DYNAMICS AND ORGANIZATIONAL FEATURES." Vestnik Tomskogo gosudarstvennogo universiteta. Kul'turologiya i iskusstvovedenie, no. 33 (March 2019): 120–32. http://dx.doi.org/10.17223/22220836/33/10.

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ZACHOS, COSMAS K. "UMBRAL DEFORMATIONS ON DISCRETE SPACE–TIME." International Journal of Modern Physics A 23, no. 13 (2008): 2005–14. http://dx.doi.org/10.1142/s0217751x08040548.

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Given a minimum measurable length underlying space–time, the latter may be effectively regarded as discrete, at scales of order of the Planck length. A systematic discretization of continuum physics may be effected most efficiently through the umbral deformation. General functionals yielding such deformations at the level of solutions are furnished and illustrated, and broad features of discrete oscillations and wave propagation are outlined.
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Wang, Yilin, and Baokuan Chang. "Extraction of Human Motion Information from Digital Video Based on 3D Poisson Equation." Advances in Mathematical Physics 2021 (December 28, 2021): 1–11. http://dx.doi.org/10.1155/2021/1268747.

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Based on the 3D Poisson equation, this paper extracts the features of the digital video human body action sequence. By solving the Poisson equation on the silhouette sequence, the time and space features, time and space structure features, shape features, and orientation features can be obtained. First, we use the silhouette structure features in three-dimensional space-time and the orientation features of the silhouette in three-dimensional space-time to represent the local features of the silhouette sequence and use the 3D Zernike moment feature to represent the overall features of the silho
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