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Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data

Analysis for Longitudinal and Time-Series Image Data, STIA 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014. The 7;

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Advances in Spatio-Temporal Segmentation of Visual Data

transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and;

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Statistics for Spatio-Temporal Data

PROSE Award in the Mathematics category, for the book Statistics for Spatio-Temporal Data (2011), published by John Wiley and Sons. (The PROSE;

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Advances in Spatio-Temporal Analysis

geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining;

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Spatiotemporal Design

classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is interwoven;

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Object-Oriented Design for Temporal GIS

they can be used for modelling spatio-temporal data, and how these components are developed and maintained within a GIS. It also offers;

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Object-Oriented Design for Temporal GIS

they can be used for modelling spatio-temporal data, and how these components are developed and maintained within a GIS. It also offers;

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Outlier Detection for Temporal Data

including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there;

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Handbook of Discrete-Valued Time Series

series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the;

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Handbook of Discrete-Valued Time Series

series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the;

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Foundations of Intelligent Systems

systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and;

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Data Analytics for Protein Crystallization

classification, and a spatio-temporal analysis of protein crystal growth; examines focal stacking techniques to avoid blurred crystallization images, and;

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Computing in Geographic Information Systems

is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being;

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Computing in Geographic Information Systems

is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being;

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Spatio-Temporal Statistics with R

data that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing;

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Spatial Analysis

spatial analysis, for both complete census and sample data * Investigating updated treatments of spatial autocorrelation and spatio-temporal;

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Functional Magnetic Resonance Imaging Processing

analysis, diffusion weighted image analysis, and longitudinal VBM analysis. It includes four MRI image modalities analysis methods. The first;

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Remote Sensing Time Series Image Processing

possibility for time series image analysis and eventual real-time assessments of scene dynamics. As an authoritative text, Remote Sensing Time Series;

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Spatio-Temporal Methods in Environmental Epidemiology

epidemiological data. Students will learn how to identify and model patterns in spatio-temporal data as well as exploit dependencies over space and time;

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Advances and Challenges in Parametric and Semi-Parametric Analysis for Correlated Data: Proceedings of the 2015 International Symposium in Statistics

Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-temporal, and Familial-longitudinal Data, held in St;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

processing techniques in both the Spatio-Temporal domain and Frequency domain This is a perfect companion for graduate and post-graduate students;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

processing techniques in both the Spatio-Temporal domain and Frequency domain This is a perfect companion for graduate and post-graduate students;

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Exploring time series of moderate resolution vegetation index

utilities of the time series data like derivation of a season calendar, mapping of cropping practices and finding single and double cropping regions;

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Spatio-Temporal Methods in Environmental Epidemiology

. Students will learn how to identify and model patterns in spatio-temporal data as well as exploit dependencies over space and time to reduce bias;

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Analysis Of Multi-temporal Remote Sensing Images - Proceedings Of The First International Workshop On Multitemp 2001

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that;

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