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Showing 1 to 20 of 832 for “"Spatio-temporal."”.

  1. Spatio-temporal tomographic imaging

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms

    uiuc Repository record for Spatio-temporal tomographic imaging (opens in a new tab)

  2. Spatio-temporal circuits for imaging sensors

    The first and second generations of infrared detectors—developed from the 1950s to the 1990s—were dominated by single pixel, linear, and staring small format, containing from 1 Kpixels to 100 Kpixels. In the past decade, the third-generation systems presented (a) large format (1 Mpixels to 16 …

    unm Repository record for Spatio-temporal circuits for imaging sensors (opens in a new tab)

  3. Algorithms for Analyzing Spatio-Temporal Data

    <p>In today's age, huge data sets are becoming ubiquitous. In addition to their size, most of these data sets are often noisy, have outliers, and are incomplete. Hence, analyzing such data is challenging. We look at applying geometric techniques to tackle some of these challenges, with an emphasis …

    duke Repository record for Algorithms for Analyzing Spatio-Temporal Data (opens in a new tab)

  4. A two channel spatio-temporal encoder

    Thesis (B.S.)-Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.

    mit Repository record for A two channel spatio-temporal encoder (opens in a new tab)

  5. Dynamic Spatio-Temporal Graph Convolutional Networks

    Spatio-temporal modeling is an essential lens to understand many real-world phenomena from traffic [20] [10] to epidemiology [12]. Although forecasting time series is an exceptionally well-studied problem, recent years have seen impressive gains in the performance of graph learning as a paradigm …

    mit Repository record for Dynamic Spatio-Temporal Graph Convolutional Networks (opens in a new tab)

  6. Spatio-temporal dynamics before population collapse

    … direct observation of critical slowing down in spatio-temporal dynamics before population collapse. In the first project, we mapped the bifurcation diagram experimentally and found that the populations became more vulnerable to disturbance closer to the tipping point. Fluctuations of population …

    mit Repository record for Spatio-temporal dynamics before population collapse (opens in a new tab)

  7. A Spatio-Temporal Data Model for Zoning

    Planning departments are besieged with temporal/historical information. While for many institutions historical information can be relegated to archives, planning departments have a constant need to access and query their historical information, particularly their historical spatial information such …

    byu Repository record for A Spatio-Temporal Data Model for Zoning (opens in a new tab)

  8. Spatio-temporal adaptive algorithm for reacting flows

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1988.

    mit Repository record for Spatio-temporal adaptive algorithm for reacting flows (opens in a new tab)

  9. Spatio-temporal data fusion in cerebral angiography

    … the two classes of data. In addition to the spatio-temporal data fusion algorithm, three new algorithms are presented: a single pass groupwise registration algorithm for registering the time series, a 2D-3D registration algorithm for registering the time series with respect to the 3D volume, …

    mit Repository record for Spatio-temporal data fusion in cerebral angiography (opens in a new tab)

  10. Spatio-temporal analysis in functional brain imaging

    … accuracy of source localization by incorporating spatio-temporal models into the reconstruction procedure. First, we introduce a novel method for current source estimation, which we call the l₁l₂-norm source estimator. The underlying model captures the sparseness of the active areas in space while …

    mit Repository record for Spatio-temporal analysis in functional brain imaging (opens in a new tab)

  11. Robust Prediction of Large Spatio-Temporal Datasets

    … and efficient design of Student-t based Robust Spatio-Temporal Prediction, namely, St-RSTP, to provide estimation based on observations over spatio-temporal neighbors. It is crucial to many applications in geographical information systems, medical imaging, urban planning, economy study, and …

    vt Repository record for Robust Prediction of Large Spatio-Temporal Datasets (opens in a new tab)

  12. Spatio-Temporal Connectivity in Dynamic Tropical Fragmented Landscapes

    … of the effects of land-use intensification on spatio-temporal dynamics and connectivity; and (iii) the quantification of potential drivers of these changes in the spatial dynamics. In the first part of my thesis, I developed a graph-theoretical method that incorporates the spatial dynamics of …

    toronto-retro Repository record for Spatio-Temporal Connectivity in Dynamic Tropical Fragmented Landscapes (opens in a new tab)

  13. A Spatio-temporal Phylogenetic Approach to Community Ecology

    … influence species at different spatial and temporal scales. To examine the contribution of both evolutionary and ecological processes, ecologists often measure the phylogenetic relationships between interacting species. However since various processes drive species assembly at different …

    toronto-retro Repository record for A Spatio-temporal Phylogenetic Approach to Community Ecology (opens in a new tab)

  14. DENSITY BASED FRAMEWORKS FOR SPATIO-TEMPORAL CHANGE ANALYSIS

    … tool in data mining. However, the development of spatiotemporal data mining techniques based on density estimation functions, particularly for change analysis, is still in its infancy. To address the need for more robust and versatile data analysis tools, density-based frameworks for …

    houston Repository record for DENSITY BASED FRAMEWORKS FOR SPATIO-TEMPORAL CHANGE ANALYSIS (opens in a new tab)

  15. Bayesian networks for spatio-temporal integrated catchment assessment

    In this thesis, a methodology for integrated catchment water resources assessment using Bayesian Networks was developed. A custom made software application that combines Bayesian Networks with GIS was used to facilitate data pre-processing and spatial modelling. Dynamic Bayesian Networks were …

    cape-town Repository record for Bayesian networks for spatio-temporal integrated catchment assessment (opens in a new tab)

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