spatio-temporal data analysis
A Bayesian Approach for the Multifractal Analysis of Spatio-Temporal Data
... (MF) analysis enables the theoretical study of scale invariance models and their practical assessment via wavelet ...of spatio-temporal data, represented as a multivariate time series, that ...
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Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease
... 6. Datar, M., Muralidharan, P., Kumar, A., Gouttard, S., Piven, J., Gerig, G., Whitaker, R., Fletcher, P.T.: Mixed-E↵ects Shape Models for Estimating Lon- gitudinal Changes in Anatomy. In: Hutchison, D., Kanade, T., ...
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A Bayesian Approach for the Multifractal Analysis of Spatio-Temporal Data
... (MF) analysis enables the theoretical study of scale invariance models and their practical assessment via wavelet ...of spatio-temporal data, represented as a multivariate time series, that ...
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Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data
... Figure 8: Ratio between the model prediction at time tp and the prediction at t0 for the three imaging modalities. The time-scale was re-scaled to the arbitrary range [0, 1]. coefficient was never significant. Pearson ...
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Thymeflow, A Personal Knowledge Base with Spatio-Temporal Data
... information; data integration; querying; open-source ...their data spread over several devices and ...of data. However, commercial systems often function as data traps, where it is easy to ...
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An Iconography-Based Modeling Approach for the Spatio-Temporal Analysis of Architectural Heritage
... Today modeling software enables users to obtain particularly rich and complex geometries with a high level of detail. Moreover, according to [1], computer graphics offers a vast range of visualizations (wireframe, ...
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Learning spatio-temporal trajectories from manifold-valued longitudinal data
... Component Analysis, the space shift 𝒘 𝑖 appears as a linear combination of 𝑁 𝑠 independent components, namely the columns of the matrix ...the temporal progression of a family of 𝑁 ...
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Spatio-temporal Genetic Structuring of Leishmania major in Tunisia by Microsatellite Analysis
... and Pakistan. (XLSX) Acknowledgments The authors want to thank the Regional Health Directorates of Sidi Bouzid, Kairouan, and Gafsa (Tunisia), the “Institut Pasteur Tunis” and the “Institut de Recherche pour le ...
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Studying Media Events through Spatio-Temporal Statistical Analysis
... the data properly, assuming ba- sically no heterogeneity between ...preliminary analysis from a generalised linear model (not taking into account the temporal dependence in the obser- vations) which ...
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R&D policy regimes in France: New evidence from a spatio-temporal analysis
... aggregated data in order to investigate the effect of the French policy mix in favor of private ...survey data, we gathered information concerning the amount of total R&D tax credits and regional, ...
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Poverty and Female Homicide in Mexican Municipalities: A Bayesian Spatio-Temporal Analysis
... 2015). Data This study uses poverty data produced by the Consejo Nacional de Evaluacion de la Politica de Desarrollo Social (CONEVAL) for each Mexican municipality for the years 1990, 2000, and ...
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Modeling spatio-temporal Variation of Algal bloom using MODIS inland Waters Data processing.
... • To develop a water bodies (inland, coastal, and open ocean) cloud masking based on a linear discriminant analysis algorithm using MODIS-D-250. • To establish a regional portrayal of the harmful algal blooms ...
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Spatio-temporal analysis of malaria within a transmission season in Bandiagara, Mali
... While seldom prioritized in the planning of malaria control by national programmes, the understanding of the microepidemiology of malaria is important to the de- sign of effective small-area interventions [3,18], ...
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Spatio-Temporal data mining: From big data to patterns
... the development of traffic planning in large cities according to vehicle- flows. Other application do- mains include socio-economic geography, sports (e.g. football players), fishing control and weather forecast- (e.g. ...
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Spatio-Temporal Predictability of Cellular Data Traffic
... Internet data traffic towards an improved traffic volume ...mobile data traffic and a synthetic mobile data traffic ...[20], data traffic dynamics [15] and service usages ...complete ...
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Spatio-temporal relationships in a primitive space: an attempt to simplify spatio-temporal analysis
... spatial data is available notably due to the improvement of data acquisition techniques ...complex spatio-temporal analyses such as, movement description, region evolution, trajectory calcu- ...
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Spatio-temporal registration of electro-anatomical mappings with functional data for CRT optimization
... electrical data ac- quired with cardiac Computed Tomography (CT) imaging, Speckle Tracking Echocadiography (STE) and Electro- Anatomical Maps (EAM) respectively 1 ...EAM data by a semi-interactive method ...
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Spatio-temporal compressed quantitative acoustic microscopy
... Quantitative acoustic microscopy (QAM) is an ultrasound imaging modality using very high frequency ultrasound to form 2D maps of acoustic properties of soft tissues at mi- croscopic scales [1], [2]. For our QAM system, ...
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Spatio-Temporal Saliency Based on RARE Model
... Index Terms— Visual attention, Saliency, Rarity Mechanism, Optical Flow 1. INTRODUCTION The aim of visual saliency models is to automatically predict human attention. The term attention refers to the process that allows ...
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Spatio-temporal Attention Mechanisms for Activity Recognition
... the Temporal Model in this dataset sometimes outperforms the video back- bone itself, for instance in CS protocol using Temporal Model with P-I3D and Separable STA as video ...modeling temporal ...
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