Featureless Methods Based on Spatio-Temporal Derivatives
Spatio-Temporal Model Checking: Explicit and Abstraction-Based Methods
... In particular, the new abstraction-refinement algorithm based on CEGAR tries to preserve the spatial structure of the model while constructing a succession of gradually finer abstractions. Since simulation ...
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Methods for the statistical analysis of spatio-temporal data
... non-CI based approach, thus following a random set/random measure formulation (see ...marked spatio-temporal point patterns, the first thing one starts with is to try to explain where and when events ...
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Survey Designs and Spatio-Temporal Methods for Disease Surveillance
... Malnutrition is frequently quantified using the binary indicator global acute malnutri- tion (GAM), usually defined as a weight-to-height Z-score (WHZ) < −2 and/or bipedal edema; alternatively, GAM is defined as a ...
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Statistical Methods for Large Spatial and Spatio-temporal Datasets
... input points at a given time. It is clear that both the value and the spatial pattern of the solid volume fractions can change drastically for different input points. If the intermediate solid volume fraction values in ...
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View synthesis based on spatio-temporal continuity
... DIBR methods not only have holes and ghost artifacts but also have problems with time continuity, leading to frequent ...method based on static background to fill holes and maintain time ...strengthen ...
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Unsupervised methods to discover events from spatio-temporal data
... modeling-based methods and increase their robustness to noise and ...detection methods assume that observa- tions in a time series have certain consistency with historical data in the same time ...
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Statistical methods for the spatio-temporal modelling of infectious disease spread
... as quantified in a large social contact survey (“ POLYMOD ”) across eight Euro- pean countries (Mossong et al., 2008). For instance, school children mainly contact other children of the same age as well as their ...
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Spatio-Temporal Context in Agent-Based Meeting Scheduling
... opponents speed and current location based on offers and evaluations made by opponents. The authors mention that none of the strategies are representing particular offer concession. The authors perform a set of ...
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Sparsity Based Spatio-Temporal Video Quality Assessment
... be based on their domain of operation as either compressed-domain methods or uncompressed-domain ...are based on bitstream parsing [34], a spatio-temporal technique by Yang et ...[36], ...
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Spatio Temporal Pulsating Dissipative Solitons through Collective Variable Methods
... work, based on collective variable approach, we have expanded the studies of 3D dissipative pulsating solitons in the complex Ginzburg-Landau equation with the cubic-quintic ...
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Answer Set Programming for Qualitative Spatio-temporal Reasoning: Methods and Experiments
... Finally, we have conducted an experimental analysis of the various transformations on consis- tency problems over Allen’s Interval Algebra and the RCC-8 calculus. While this paper is based on [4], it has been ...
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Mathematical Methods to Predict the Dynamic Shape Evolution of Cancer Growth based on Spatio-Temporal Bayesian and Geometrical Models
... The aim of this research is to observe the dynamics of cancer tumors and to develop and implement new methods and algorithms for pre- diction of tumor growth. We offer some tools to help physicians for a better ...
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Spatio - Temporal Video Denoising by Block - Based Motion detection
... adapted based on local image ...filtering methods is given in ...or temporal correlation may be incorporated into the algorithms by motion estimation/compensation techniques [6] or simple pixel ...
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Web-based Spatio-Temporal Presentation and Analysis of Thematic Maps
... Map-based visualization and analysis will become an important factor in future Web-applications. Regional location atlases and logistics support are prominent examples. Location-based services will likely ...
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CorClustST - Correlation-based clustering of big spatio-temporal datasets
... characteristics and can help to preprocess, reduce and compress big datasets. Especially in environmental applications, data is often available in high fre- quency across space and time which leads to special ...
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Violence detection based on spatio-temporal feature and fisher vector
... We perform a series of experiments for testing the superiority of 4 types of feature descriptors. The 4 types of features are MoSIFT, MoWLD [21], DT and MF, and they are used together with SC on the Hockey Fight dataset. ...
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Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition
... existing methods typically rely on fixed physical- connectivity skeleton structure for recognition, which is in- capable of well capturing the intrinsic high-order correla- tions among skeleton ...novel ...
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A Critical Literature Review of Spatio-temporal Simulation Methods for Daylight Glare Assessment
... established methods for defining point grids representative of building ...2015). Based on their results, the authors recommend a grid spacing of less than one ...
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Reconstructing spatio-temporal patterns of debris-flow activity using dendrogeomorphological methods
... reconstruct spatio-temporal patterns of past debris flows on a forested cone in the Swiss Alps (Bruchji torrent, Blatten, ...was based on a detailed geomorphic map (1:1000) of all forms related to ...
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Spatio-Temporal Clustering: a Survey
... Abstract Spatio-temporal clustering is a process of grouping objects based on their spatial and temporal ...of spatio-temporal data became available that introduce new challenges ...
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