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Artificial Intelligence for Games, Second Edition
Artificial Intelligence for Games, Second Edition

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from...

Boosting-Based Face Detection and Adaptation (Synthesis Lectures on Computer Vision)
Boosting-Based Face Detection and Adaptation (Synthesis Lectures on Computer Vision)
With the rapid increase of computational powers and availability of modern sensing, analysis and rendering equipment and technologies, computers are becoming more and more intelligent. Many research projects and commercial products have demonstrated the capability for a computer to interact with human in a natural way by looking at...
Keyword Search in Databases (Synthesis Lectures on Data Management)
Keyword Search in Databases (Synthesis Lectures on Data Management)
It has become highly desirable to provide flexible ways for users to query/search information by integrating database (DB) and information retrieval (IR) techniques in the same platform. On one hand, the sophisticated DB facilities provided by a database management system assist users to query well-structured information using a query language...
Microcontrollers Fundamentals for Engineers And Scientists (Synthesis Lectures on Digital Circuits and Systems)
Microcontrollers Fundamentals for Engineers And Scientists (Synthesis Lectures on Digital Circuits and Systems)
The purpose of this text, “Microcontrollers Fundamentals for Engineers and Scientists,” is to provide practicing scientists and engineers a tutorial on the fundamental concepts and use of microcontrollers. Today, microcontrollers, or single integrated circuit (chip) computers, play critical roles in almost all instrumentation and...
Probabilistic Databases (Synthesis Lectures on Data Management)
Probabilistic Databases (Synthesis Lectures on Data Management)
Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of...
A Practical Guide to Testing Wireless Smartphone Applications (Synthesis Lectures on Mobile and Pervasive Computing)
A Practical Guide to Testing Wireless Smartphone Applications (Synthesis Lectures on Mobile and Pervasive Computing)
Testing applications for mobile phones is difficult, time-consuming, and hard to do effectively. Many people have limited their testing efforts to hands-on testing of an application on a few physical handsets, and they have to repeat the process every time a new version of the software is ready to test. They may miss many of the permutations of...
XML Retrieval (Synthesis Lectures on Information Concepts, Retrieval & Services)
XML Retrieval (Synthesis Lectures on Information Concepts, Retrieval & Services)
Documents usually have a content and a structure. The content refers to the text of the document, whereas the structure refers to how a document is logically organized. An increasingly common way to encode the structure is through the use of a mark-up language. Nowadays, the most widely used mark-up language for representing structure is the...
Light Field Sampling (Synthesis Lectures on Image, Video, and Multimedia Processing)
Light Field Sampling (Synthesis Lectures on Image, Video, and Multimedia Processing)
Light field is one of the most representative image-based rendering techniques that generate novel virtual views from images instead of 3D models. The light field capture and rendering process can be considered as a procedure of sampling the light rays in the space and interpolating those in novel views. As a result, light field can be studied as a...
Data-Intensive Text Processing with MapReduce
Data-Intensive Text Processing with MapReduce

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms...

Quantum Computer Science (Synthesis Lectures on Quantum Computing)
Quantum Computer Science (Synthesis Lectures on Quantum Computing)
In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum...
Semantic Role Labeling (Synthesis Lectures on Human Language Technologies)
Semantic Role Labeling (Synthesis Lectures on Human Language Technologies)

Analysis of semantic relations and predicate-argument structure is one of the core pieces of any system for natural language understanding. This field has a long history, but has also undergone significant change in recent years. The advent of systematically defined resources for semantic structures has enabled the creation of large corpora...

Data Integration: The Relational Logic Approach
Data Integration: The Relational Logic Approach

Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information systems like the World Wide Web. Not surprisingly, the sources often use different vocabularies and different data structures, being...

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