Relevant bibliographies by topics / Temporal signatures

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Temporal signatures'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Temporal signatures"

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Van Den Broeke, Matthew S., and Sabrina T. Jauernic. "Spatial and Temporal Characteristics of Polarimetric Tornadic Debris Signatures." Journal of Applied Meteorology and Climatology 53, no. 10 (2014): 2217–31. http://dx.doi.org/10.1175/jamc-d-14-0094.1.

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AbstractNonmeteorological scatter, including debris lofted by tornadoes, may be detected using the polarimetric radar variables. For the 17 months from January 2012 to May 2013, radar data were examined for each tornado reported in the domain of an operational polarimetric Weather Surveillance Radar-1988 Doppler (WSR-88D). Characteristics of the tornadic debris signature (TDS) were recorded when a signature was present. Approximately 16% of all tornadoes reported in Storm Data were associated with a debris signature, and this proportion is shown to vary regionally. Signatures were more frequen
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Ciepiela, Lindsy R., and Annika W. Walters. "Quantifying 87Sr/86Sr temporal stability and spatial heterogeneity for use in tracking fish movement." Canadian Journal of Fisheries and Aquatic Sciences 76, no. 6 (2019): 928–36. http://dx.doi.org/10.1139/cjfas-2018-0124.

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The specificity and accuracy of inferred fish origin and movement relies on describing spatial heterogeneity and temporal stability of environmental signatures. But the cost and logistics of sample collection often precludes the complete quantification of environmental signature temporal stability and spatial heterogeneity. We used repeated sampling and a novel approach (Bayesian ridge regression, BRR) to quantify the temporal stability and spatial heterogeneity of 87Sr/86Sr, respectively. We explained 86% of observed variation in 87Sr/86Sr using a BRR model and estimated 87Sr/86Sr throughout
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Ekimov, Alexander, Marshall Bradley, and James Sabatier. "Temporal analysis of human motion signatures." Journal of the Acoustical Society of America 126, no. 4 (2009): 2207. http://dx.doi.org/10.1121/1.3248689.

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Zhang, Shengchao, Liam J. Spoletini, Benjamin P. Gold, Victoria L. Morgan, Baxter P. Rogers, and Catie Chang. "Interindividual Signatures of fMRI Temporal Fluctuations." Cerebral Cortex 31, no. 10 (2021): 4450–63. http://dx.doi.org/10.1093/cercor/bhab099.

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Abstract The complexity and variability of human brain activity, such as quantified from Functional Magnetic Resonance Imaging (fMRI) time series, have been widely studied as potential markers of healthy and pathological states. However, the extent to which fMRI temporal features exhibit stable markers of inter-individual differences in brain function across healthy young adults is currently an open question. In this study, we draw upon two widely used time-series measures—a nonlinear complexity measure (sample entropy; SampEn) and a spectral measure of low-frequency content (fALFF)—to capture
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Yun, Hye-Won, Jung-Rack Kim, Yun-Soo Choi, and Shih-Yuan Lin. "Analyses of Time Series InSAR Signatures for Land Cover Classification: Case Studies over Dense Forestry Areas with L-Band SAR Images." Sensors 19, no. 12 (2019): 2830. http://dx.doi.org/10.3390/s19122830.

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As demonstrated in prior studies, InSAR holds great potential for land cover classification, especially considering its wide coverage and transparency to climatic conditions. In addition to features such as backscattering coefficient and phase coherence, the temporal migration in InSAR signatures provides information that is capable of discriminating types of land cover in target area. The exploitation of InSAR signatures was expected to provide merits to trace land cover change in extensive areas; however, the extraction of suitable features from InSAR signatures was a challenging task. Combi
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Westerberg, I. K., and H. K. McMillan. "Uncertainty in hydrological signatures." Hydrology and Earth System Sciences 19, no. 9 (2015): 3951–68. http://dx.doi.org/10.5194/hess-19-3951-2015.

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Abstract. Information about rainfall–runoff processes is essential for hydrological analyses, modelling and water-management applications. A hydrological, or diagnostic, signature quantifies such information from observed data as an index value. Signatures are widely used, e.g. for catchment classification, model calibration and change detection. Uncertainties in the observed data – including measurement inaccuracy and representativeness as well as errors relating to data management – propagate to the signature values and reduce their information content. Subjective choices in the calculation
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Westerberg, I. K., and H. K. McMillan. "Uncertainty in hydrological signatures." Hydrology and Earth System Sciences Discussions 12, no. 4 (2015): 4233–70. http://dx.doi.org/10.5194/hessd-12-4233-2015.

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Abstract. Information about rainfall–runoff processes is essential for hydrological analyses, modelling and water-management applications. A hydrological, or diagnostic, signature quantifies such information from observed data as an index value. Signatures are widely used, including for catchment classification, model calibration and change detection. Uncertainties in the observed data – including measurement inaccuracy and representativeness as well as errors relating to data management – propagate to the signature values and reduce their information content. Subjective choices in the calcula
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Jin, Wen, Anna C. Nobre, and Freek van Ede. "Temporal Expectations Prepare Visual Working Memory for Behavior." Journal of Cognitive Neuroscience 32, no. 12 (2020): 2320–32. http://dx.doi.org/10.1162/jocn_a_01626.

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Working memory enables us to retain past sensations in service of anticipated task demands. How we prepare for anticipated task demands during working memory retention remains poorly understood. Here, we focused on the role of time—asking how temporal expectations help prepare for ensuing memory-guided behavior. We manipulated the expected probe time in a delayed change-detection task and report that temporal expectation can have a profound influence on memory-guided behavioral performance. EEG measurements corroborated the utilization of temporal expectations: demonstrating the involvement of
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Seeger, Stefan, and Markus Weiler. "Temporal dynamics of tree xylem water isotopes: in situ monitoring and modeling." Biogeosciences 18, no. 15 (2021): 4603–27. http://dx.doi.org/10.5194/bg-18-4603-2021.

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Abstract. We developed a setup for a fully automated, high-frequency in situ monitoring system of the stable water isotope deuterium and 18O in soil water and tree xylem. The setup was tested for 12 weeks within an isotopic labeling experiment during a large artificial sprinkling experiment including three mature European beech (Fagus sylvatica) trees. Our setup allowed for one measurement every 12–20 min, enabling us to obtain about seven measurements per day for each of our 15 in situ probes in the soil and tree xylem. While the labeling induced an abrupt step pulse in the soil water isotopi
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Schaum, Nicholas, Benoit Lehallier, Oliver Hahn, et al. "Ageing hallmarks exhibit organ-specific temporal signatures." Nature 583, no. 7817 (2020): 596–602. http://dx.doi.org/10.1038/s41586-020-2499-y.

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Dissertations / Theses on the topic "Temporal signatures"

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McInnes, Lynsey. "Spatial and temporal signatures of ecological constraints on diversity." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/7081.

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Broad-scale diversity patterns are the outcome of ecological and evolutionary processes that permit different numbers of species to coexist in a region. Many studies have focused on understanding the factors that allow a region to contain more species or a clade to diversify more rapidly. In this thesis, I shift focus to instead explore the constraints that prevent biodiversity increasing unbounded, using a combination of phylogenetic and biogeographical approaches across a range of temporal and spatial scales. In chapter two, I investigate conservatism (i.e., the tendency for more closely rel
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Woodruff, Olivia P. "TEMPORAL AND SPATIAL CHARACTERIZATION OF MACONDO 252 SIGNATURES IN GULF OF MEXICO SHELF AND SLOPE SEDIMENTS." UKnowledge, 2014. http://uknowledge.uky.edu/ees_etds/17.

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The long-term fate of hydrocarbons in the Gulf of Mexico (GOMx) following the 2010 Deepwater Horizon oil spill has yet to be fully characterized. Elemental (% C and % N), stable isotopes (δ13Corganic), and polycyclic aromatic hydrocarbon (PAH) molecular signatures were investigated in shelf and slope sediments collected in October 2010 and 2011 to gain insight into processes affecting the distribution and fate of spilled Macondo oil. Particulate organic carbon (POC) ranged between 1.55 and 2.22 wt. % in 2010 and 0.55 and 2.06 % in 2011 while the corresponding δ13Corganic ranges were from -23.3
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Vu, Alexander Loc. "Visual Analytics: Identifying Informative Temporal Signatures in Continuous Cardiac Monitoring Alarms from a Large Hospital System." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503285700674621.

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Che-Alota, Vukenkeng. "Temporal geophysical and geochemical signatures due to contaminant source reduction at Wurtsmith Air Force Base in Oscoda Michigan, USA." Click HERE to connect, 2009. http://digital.library.okstate.edu/etd/CheAlota_okstate_0664M_10176.pdf.

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Tacon, Sandrine. "Spatio-temporal analysis of braided river morphology with airborne LiDAR." Thesis, Lyon 2, 2015. http://www.theses.fr/2015LYO20054/document.

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Les rivières en tresses constituent des plaines alluviales complexes constituées d'une mosaïque d'unités correspondant à des échelles spatio-temporelles différentes. L'objectif de cette thèse a été d'utiliser des données de LiDAR aéroporté pour améliorer la connaissance des réponses morphologiques des lits en tresses à différentes échelles spatio-temporelles. Dans un premier temps, 2 levés LiDAR séquentiels ont permis de détecter les changements morphologiques d’une tresse de 7 km survenus suite à une crue de période de retour 14 ans. Ces travaux ont été réalisés sur le site du Bès, un affluen
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Ruff, Edward Clark III. "Electro-Optic Range Signatures of Canonical Targets Using Direct Detection LIDAR." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1522922373060272.

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Pitton, Anne-Cécile. "Contribution à la ré-identification de véhicules par analyse de signatures magnétiques tri-axiales mesurées par une matrice de capteurs." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT005/document.

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La ré-identification de véhicules permet d’estimer deux paramètres clés en gestion dynamique de trafic : les temps de parcours et les matrices origine-destination. Dans cette thèse, nous avons choisi d'effectuer cette ré-identification par analyse des signatures magnétiques mesurées par des capteurs tri-axiaux placés sur la chaussée. La signature magnétique est générée par l'aimantation du véhicule : elle est alors susceptible de varier en fonction de l'orientation du véhicule par rapport au champ magnétique terrestre (à cause de l'aimantation induite dans le plan horizontal), et en fonction d
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Petit, Coraline. "Évolution et Développement d'un organe sériel - la molaire : Transcriptomique comparée des bourgeons de molaire chez les rongeurs." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN009/document.

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Les programmes de développement font appel à l'expression coordonnée de milliers de gènes, à laquelle le RNA-seq nous donne maintenant accès.Quelles différences d'expression sous-tendent les différences de programmes de développement, (i)entre organes similaires d'une même espèce ? (ii) entre organes homologues dans des espèces différentes ? Alors que d'autres études s'intéressent à des gènes maîtres régulateurs, je me suis intéressée au transcriptome pris dans son ensemble, dans ce qu'il peut nous apporter pour comprendre les différences de programme de développement en relation avec la morph
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Muraleedharan, Nair Jayakrishnan. "Signature Verification Model: A Long Term Memory Approach." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1427210243.

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Garges, David Casimir. "Early Forest Fire Detection via Principal Component Analysis of Spectral and Temporal Smoke Signature." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1456.

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The goal of this study is to develop a smoke detecting algorithm using digital image processing techniques on multi-spectral (visible & infrared) video. By utilizing principal component analysis (PCA) followed by spatial filtering of principal component images the location of smoke can be accurately identified over a period of exposure time with a given frame capture rate. This result can be further analyzed with consideration of wind factor and fire detection range to determine if a fire is present within a scene. Infrared spectral data is shown to contribute little information concerning the
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Books on the topic "Temporal signatures"

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Kaufmann, Liane, Karin Kucian, and Michael von Aster. Development of the numerical brain. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.008.

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This article focuses on typical trajectories of numerical cognition from infancy all the way through to adulthood (please note that atypical pathways of numerical cognition will be dealt in‘Brain Correlates of Numerical Disabilities’). Despite the fact that developmental imaging studies are still scarce to date there is converging evidence that (1) neural signatures of non-verbal number processing may be observed already in infants; and (2) developmental changes in neural responsivity are characterized by increasing functional specialization of number-relevant frontoparietal brain regions. It
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Lysack, Krista. Chronometres. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198836162.001.0001.

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What does it mean to feel time, to sense its passing along the sinews and nerves of the body as much as the synapses of the mind? And how do books, as material arrangements of print and paper, mediate such temporal experiences? Chronometres: Devotional Literature, Duration, and Victorian Reading is a study of the time-inflected reading practices of religious literature, the single largest market for print in Victorian Britain. It examines poetic cycles by John Keble, Alfred Tennyson, Christina Rossetti, and Frances Ridley Havergal; family prayer manuals, Sunday-reading books and periodicals; a
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Sizemore, Michelle. American Enchantment. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190627539.001.0001.

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This book investigates the post-revolutionary rituals and discourses of enchantment, a category of mystical experience uniquely capable of producing new forms of popular power and social affiliation. American Enchantment views this phenomenon as a response to a signature problem in post-revolutionary culture: how to represent the people in the absence of the king’s body and other traditional monarchical forms. In the early United States, this absence inaugurates new attempts to conjure the people and to reconstruct the symbolic order. For many in this era, these efforts converge on enchantment
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Book chapters on the topic "Temporal signatures"

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Rivero-Moreno, Carlos Joel, and Stéphane Bres. "Video Spatio-temporal Signatures Using Polynomial Transforms." In Visual Information and Information Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11590064_5.

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Vogl, Wolf-Dieter, Sebastian M. Waldstein, Bianca S. Gerendas, et al. "Spatio-Temporal Signatures to Predict Retinal Disease Recurrence." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19992-4_12.

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de Pasquale, Francesco, and Laura Marzetti. "Temporal and Spectral Signatures of the Default Mode Network." In Magnetoencephalography. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-33045-2_20.

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de Pasquale, Francesco, and Laura Marzetti. "Temporal and Spectral Signatures of the Default Mode Network." In Magnetoencephalography. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00087-5_20.

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de Pasquale, Francesco, and Laura Marzetti. "Temporal and Spectral Signatures of the Default Mode Network." In Magnetoencephalography. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-62657-4_20-1.

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Winglee, R. M., J. D. Menietti, W. K. Peterson, J. L. Burch, and J. H. Waite. "Temporal and spatial signatures in the injection of magnetosheath plasma into the cusp/cleft." In Solar System Plasmas in Space and Time. American Geophysical Union, 1994. http://dx.doi.org/10.1029/gm084p0171.

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Bernardis, Elena, Ender Konukoglu, Yangming Ou, Dimitris N. Metaxas, Benoit Desjardins, and Kilian M. Pohl. "Temporal Shape Analysis via the Spectral Signature." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33418-4_7.

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Mawla, Tanjila, Sharmishtha Dutta, and Md Forhad Rabbi. "Temporal Signature Mining for Network Intrusion Detection Using TEMR." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1501-5_57.

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Deng, Hao-Ran, and Yun-Hong Wang. "On-Line Signature Verification Based on Spatio-Temporal Correlation." In Emerging Intelligent Computing Technology and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_9.

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Al Alwani, Adnan, Youssef Chahir, and Francois Jouen. "Thermal Signature Using Non-redundant Temporal Local Binary-Based Features." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11755-3_17.

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Conference papers on the topic "Temporal signatures"

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Gross, Wolfgang, Florian Queck, Marius Vögtli, et al. "A multi-temporal hyperspectral target detection experiment: evaluation of military setups." In Target and Background Signatures VII, edited by Karin U. Stein and Ric Schleijpen. SPIE, 2021. http://dx.doi.org/10.1117/12.2597991.

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Ong, Eng-Jon, and Richard Bowden. "Learning temporal signatures for Lip Reading." In 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, 2011. http://dx.doi.org/10.1109/iccvw.2011.6130355.

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Fu, Yingxue, and Elaine Uí Dhonnchadha. "A Pattern-Mining Driven Study on Differences of Newspapers in expressing Temporal Information." In 9th International Conference on Natural Language Processing (NLP 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101409.

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This paper studies the differences between different types of newspapers in expressing temporal information, which is a topic that has not received much attention. Techniques from the fields of temporal processing and pattern mining are employed to investigate this topic. First, a corpus annotated with temporal information is created by the author. Then, sequences of temporal information tags mixed with part-of-speech tags are extracted from the corpus. The TKS algorithm is used to mine skip-gram patterns from the sequences. With these patterns, the signatures of the four newspapers are obtain
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Patwari, Neal, and Sneha K. Kasera. "Robust location distinction using temporal link signatures." In the 13th annual ACM international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1287853.1287867.

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Sundaravaradan, Naren, K. S. M. Tozammel Hossain, Vandana Sreedharan, et al. "Extracting temporal signatures for comprehending systems biology models." In the 16th ACM SIGKDD international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1835804.1835863.

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Viennois, Gaelle, Christophe Proisy, Rinny Rahmania, et al. "Temporal stability of mangrove multispectral signatures at fine scales: Stability of mangrove multispectral signatures." In 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp). IEEE, 2015. http://dx.doi.org/10.1109/multi-temp.2015.7245803.

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Imai, Shigeru, Richard Klockowski, and Carlos A. Varela. "Self-Healing Spatio-temporal Data Streams Using Error Signatures." In 2013 IEEE 16th International Conference on Computational Science and Engineering (CSE). IEEE, 2013. http://dx.doi.org/10.1109/cse.2013.141.

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Hao, Yu, Jing Wang, Ying Liu, Zhijie Xu, and Jiulun Fan. "Extracting Spatio-Temporal Texture signatures for crowd abnormality detection." In 2017 23rd International Conference on Automation and Computing (ICAC). IEEE, 2017. http://dx.doi.org/10.23919/iconac.2017.8082051.

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Jones, K. F., D. K. Perovich, and G. G. Koenig. "Spatial and temporal variability of hyperspectral signatures of terrain." In SPIE Defense and Security Symposium, edited by Sylvia S. Shen and Paul E. Lewis. SPIE, 2008. http://dx.doi.org/10.1117/12.777642.

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Welsh, Byron M. "Spatial and temporal covariance properties of wideband target signatures." In AeroSense 2000, edited by Edmund G. Zelnio. SPIE, 2000. http://dx.doi.org/10.1117/12.396362.

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Reports on the topic "Temporal signatures"

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Ross, S., B. Brisco, R. J. Brown, S. Yun, and G. Staples. Temporal Signature Analysis of Rice Paddies Using RADARSAT-1: Preliminary Results. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219358.

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