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It is common to employ a shape model or motion model for the analysis of non-rigid motion. However, adequate amount of information about;
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conference dealt with the following topics: geometric and physical deformable models; motion analysis; articulated models and animation; modeling and;
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mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS;
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motion analysis and tracking; 3D human reconstruction and recognition; multimodal user interaction and applications; ubiquitous and social;
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This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with;
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This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with;
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analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced;
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Spatiotemporal Analysis of Air Pollution and Its Application in Public Health reviews, in detail, the tools needed to understand the;
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, with particular emphasis on space-time determination and interpretation, spatiotemporal analysis and modeling, random field geometry, random;
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, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables. 2000 edition.;
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Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first;
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-ICI model. Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in R facilitates the use of the model;
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-ICI model. Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in R facilitates the use of the model;
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. In spite of the established importance of shape factors in the analysis of breast tumors and masses, difficulties exist in obtaining accurate and;
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The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the;
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is provided. Finally, two applications of the measurement error model for circular data in a spatial and in a dynamic spatiotemporal context are;
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information systems (GIS), spatiotemporal data analytics, text mining and semantic analysis, machine learning, trajectory data analysis, and;
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The final volume in the Non-deformable Solid Mechanics set, Movement Equations 5 deals with the dyna;...
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Recently, a new research stimulus has derived from the observation that soft structures, such as bio;...
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necessary mathematical background in the form of an introduction to tensor analysis followed by a discussion on kinematics, which deals with purely;
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This book covers dynamic simulation of deformable objects, which is one of the most challenging task;...
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Spatiotemporal Modeling of Stem Cell Differentiation: Partial Differentiation Equation Analysis in R covers topics surrounding how stem;
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Deformable avatars are virtual humans that deform themselves during motion. This implies facial defo;...
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This book emphasizes that all proems in mechanics of deformable bodies involve three key ingredients;...
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spatiotemporal dependence. This can arise when decisions or transactions of economic agents are related to the behaviour of nearby agents. Dependence;
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This volume provides a policy-relevant analysis of the complex web of contemporary economic trends, political developments and strategic;
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