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Feature Extraction & Image Processing, Second EditionWe will no doubt be asked many times: why on earth write a new book on computer vision? Fair question: there are already many good books on computer vision in the bookshops, as you will find referenced later, so why add to them? Part of the answer is that any textbook is a snapshot of material that exists before it. Computer vision, the art of... | | Fourier Analysis on Finite Abelian Groups (Applied and Numerical Harmonic Analysis)Fourier analysis has been the inspiration for a technological wave of advances in fields such as imaging processing, financial modeling, algorithms and sequence design. This unified, self-contained book examines the mathematical tools used for decomposing and analyzing functions, specifically, the application of the [discrete] Fourier transform... | | Getting Started with Greenplum for Big Data Analytics
Big Data started off as a technology buzzword rapidly growing into the headline agenda of several corporate strategies across industry verticals. With the amount of structured and unstructured data available to organizations exploding, analysis of these large data sets is increasingly becoming a key basis of competition, productivity growth,... |
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WebGL Game Development
WebGL is the standard for rendering 3D graphics in a browser using JavaScript. This book will teach you to exploit the full potential of WebGL in game development by rendering complex 3D objects. The essential tutorial.
Overview
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Load and render complex 3D objects in WebGL using JavaScript
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| | OpenCV By Example
Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3
About This Book
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Get to grips with the basics of Computer Vision and image processing
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This is a step-by-step guide to developing several real-world Computer Vision projects...
| | Unsupervised Learning with R
Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data
About This Book
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Unlock and discover how to tackle clusters of raw data through practical examples in R
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Explore your data and create your own models from scratch
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