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Machine Learning and Robot Perception (Studies in Computational Intelligence)
Machine Learning and Robot Perception (Studies in Computational Intelligence)
This book presents some of the most recent research results in the area of machine learning and robot perception. The book contains eight chapters.

Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where
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Spatial Representation and Reasoning for Robot Mapping: A Shape-Based Approach (Springer Tracts in Advanced Robotics)
Spatial Representation and Reasoning for Robot Mapping: A Shape-Based Approach (Springer Tracts in Advanced Robotics)

This book demonstrates bene?ts of abstract and qualitative reasoning that have not received much attention in the context of autonomous robotics before. Bremen, Christian Freksa December 2007 Director of the SFB/TR 8 Spatial Cognition Preface This book addresses spatial representations and reasoning techniques for - bile robot mapping,...

An Introduction to Partial Differential Equations with MATLAB (Chapman & Hall/CRC Applied Mathematics & Nonlinear Science)
An Introduction to Partial Differential Equations with MATLAB (Chapman & Hall/CRC Applied Mathematics & Nonlinear Science)

An Introduction to Partial Differential Equations with MATLAB®, Second Edition illustrates the usefulness of PDEs through numerous applications and helps students appreciate the beauty of the underlying mathematics. Updated throughout, this second edition of a bestseller shows students how PDEs can...

Database Management Systems
Database Management Systems
DATABASE MANAGEMENT SYSTEMS is designed for use in a course in databases. This book is distinctive in its emphasis on the practical side of databases. This means that it has unique coverage of database design, uses SQL throughout the book to demonstrate different concepts, and has an emphasis on query evaluation and optimization. In this revision...
Data Mashups in R
Data Mashups in R
This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own capabilities in...
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

Qualitative Spatial Abstraction in Reinforcement Learning (Cognitive Technologies)
Qualitative Spatial Abstraction in Reinforcement Learning (Cognitive Technologies)
Teaching and learning are difficult tasks not only when people are involved but also with regard to computer programs and machines: When the teaching/learning units are too small, we cannot express sufficient context to teach a differentiated lesson; when they are too large, the complexity of the learning task can increase...
Handbook of Multisensor Data Fusion
Handbook of Multisensor Data Fusion

Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and "smart" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical...

An Introduction To The Theory Of Spatial Object Modelling For GIS (Research Monographs in GIS)
An Introduction To The Theory Of Spatial Object Modelling For GIS (Research Monographs in GIS)

In 1983 I left the International Institute for Aerospace Survey and Earth Sciences (ITC) and went to Wageningen Agricultural University, where I took the chair of “Land Surveying and Teledetection”. Up to that time I had been active mainly in geodesy and photogrammetry, but at Wageningen it soon became...

Spatial Data Analysis: Theory and Practice
Spatial Data Analysis: Theory and Practice
Are there geographic clusters of disease cases, or hotspots of crime? Can the geography of air quality be matched to where people hospitalized for respiratory complaints actually live? Spatial data is data about the world where the attribute of interest and its location on the earth's surface are recorded. This comprehensive overview of the subject...
Multidimensional Signal, Image, and Video Processing and Coding, Second Edition
Multidimensional Signal, Image, and Video Processing and Coding, Second Edition

This is a textbook for a first- or second-year graduate course for electrical and computer engineering (ECE) students in the area of digital image and video processing and coding. The course might be called Digital Image and Video Processing (DIVP) or some such, and has its heritage in the signal processing and communications areas of...

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...

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