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Multidimensional Geographic Information Science (Geographic Information Systems Workshop)
Multidimensional Geographic Information Science (Geographic Information Systems Workshop)
This book has been a long time in the making. The origins of the ideas in this book lie in 1990 when I attended a NATO-funded Advanced Study Institute in Las Navas del Marqués in Spain on ‘Cognitive and Linguistic Aspects of Geographic Space’, organised by Andrew Frank and David Mark. After a long gestation, I started to write...
Kernel Learning Algorithms for Face Recognition
Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included...

New Frontiers in Integrated Solid Earth Sciences (International Year of Planet Earth)
New Frontiers in Integrated Solid Earth Sciences (International Year of Planet Earth)

Man’s intensifying use of the Earth’s habitat has led to an urgent need for scientifically advanced ‘geo-prediction systems’ that accurately locate subsurface resources and forecast the timing and magnitude of earthquakes, volcanic eruptions and land subsidence.

As advances in the earth sciences lead to...

Mastering QGIS
Mastering QGIS

Go beyond the basics and unleash the full power of QGIS with practical, step-by-step examples

About This Book

  • Learn how to meet all your GIS needs with the leading open source GIS
  • Master QGIS by learning about database integration, geoprocessing tools, Python scripts, advanced...
Decomposition Methods for Differential Equations: Theory and Applications
Decomposition Methods for Differential Equations: Theory and Applications
Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It covers real-life problems, the underlying decomposition and discretization, the stability and consistency analysis of the decomposition...
Representations and Techniques for 3D Object Recognition & Scene Interpretation
Representations and Techniques for 3D Object Recognition & Scene Interpretation

3D scene understanding and object recognition are among the grandest challenges in computer vision. A wide variety of techniques and goals, such as structure from motion, optical flow, stereo, edge detection, and segmentation, could be viewed as subtasks within scene understanding and recognition. Many of these applicable methods are...

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important...

Statistical Geoinformatics for Human Environment Interface (Chapman & Hall/CRC Applied Environmental Statistics)
Statistical Geoinformatics for Human Environment Interface (Chapman & Hall/CRC Applied Environmental Statistics)

Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to human/environment: localization and multiple indicators.

The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square...

S Programming (Statistics and Computing)
S Programming (Statistics and Computing)

S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It...

Digital Image Processing Using MATLAB(R)
Digital Image Processing Using MATLAB(R)
This is the first book that provides a balanced treatment of image processing basics and software principles used in the practical application of image processing. Working in the MATLAB computing environment, it provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image...
Next-Generation Business Intelligence Software with Silverlight 3
Next-Generation Business Intelligence Software with Silverlight 3

Business Intelligence (BI) software aims to bring together different pieces of a business into views that can make comprehending mountains of data easier. BI is everywhere. Applications that include reports, analytics, statistics, and historical and predictive modeling are all examples of BI applications. Currently, we are in the second...

Robust Motion Detection in Real-Life Scenarios (SpringerBriefs in Computer Science)
Robust Motion Detection in Real-Life Scenarios (SpringerBriefs in Computer Science)

This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target...

unlimited object storage image
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