December 4, 2020

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Learning Processing

Learning Processing
Author : Daniel Shiffman
Publisher : Newnes
Release Date : 2015-09-09
Category : Computers
Total pages :564
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Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. The book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. This book is ideal for graphic designers and visual artists without programming background who want to learn programming. It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study. A friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages No previous experience required—this book is for the true programming beginner! Step-by-step examples, thorough explanations, hands-on exercises, and sample code supports your learning curve

Learning Processing

Learning Processing
Author : Daniel Shiffman
Publisher : Morgan Kaufmann
Release Date : 2009-04-17
Category : Computers
Total pages :472
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The free, open-source Processing programming language environment was created at MIT for people who want to develop images, animation, and sound. Based on the ubiquitous Java, it provides an alternative to daunting languages and expensive proprietary software. This book gives graphic designers, artists and illustrators of all stripes a jump start to working with processing by providing detailed information on the basic principles of programming with the language, followed by careful, step-by-step explanations of select advanced techniques. The author teaches computer graphics at NYU's Tisch School of the Arts, and his book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. Previously announced as "Pixels, Patterns, and Processing" *A guided journey from the very basics of computer programming through to creating custom interactive 3D graphics *Step-by-step examples, approachable language, exercises, and LOTS of sample code support the reader's learning curve *Includes lessons on how to program live video, animated images and interactive sound

Learning Processing, 2nd Edition

Learning Processing, 2nd Edition
Author : Daniel Shiffman
Publisher : Unknown
Release Date : 2015
Category : Engineering
Total pages :564
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Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. The book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. This book is ideal for graphic designers and visual artists without programming background who want to learn programming. It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study. A friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages No previous experience required--this book is for the true programming beginner! Step-by-step examples, thorough explanations, hands-on exercises, and sample code supports your learning curve.

Economic Development as a Learning Process

Economic Development as a Learning Process
Author : Franco Malerba,Richard R. Nelson
Publisher : Edward Elgar Publishing
Release Date : 2012
Category : Business & Economics
Total pages :320
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Until recently, economists studying economic development have tended to consider it as a universal process, or focussed their attention on common aspects. This book originates from the growing recognition of significant sectoral differences in economic development and examines the catching-up process in five different economic sectors: pharmaceuticals, telecommunications equipment, semiconductors, software, and agro-food industries. Each of these sector studies explore the learning and catch-up processes in various developing countries, in order to identify both the common features, and those which differ significantly across sectors and nations. The authors pay particular attention to China, India, Brazil, Korea and Taiwan. Edited by two of the leading scholars in the field, this book will prove to be invaluable for academics and postgraduate students interested in economic and technological development, and evolutionary economics.

Processing

Processing
Author : Casey Reas,Ben Fry
Publisher : MIT Press
Release Date : 2014-12-19
Category : Art
Total pages :642
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Providing an introduction to the ideas of computer programming within the context of the visual arts, this thorough book targets an audience of computer-savvy individuals who are interested in creating interactive and visual work through writing software but have little or no prior experience. --

Neural Modeling of Speech Processing and Speech Learning

Neural Modeling of Speech Processing and Speech Learning
Author : Bernd J. Kröger,Trevor Bekolay
Publisher : Springer
Release Date : 2019-07-11
Category : Medical
Total pages :280
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This book explores the processes of spoken language production and perception from a neurobiological perspective. After presenting the basics of speech processing and speech acquisition, a neurobiologically-inspired and computer-implemented neural model is described, which simulates the neural processes of speech processing and speech acquisition. This book is an introduction to the field and aimed at students and scientists in neuroscience, computer science, medicine, psychology and linguistics.

Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing

Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
Author : Stefan Wermter,Ellen Riloff,Gabriele Scheler
Publisher : Springer Science & Business Media
Release Date : 1996-03-15
Category : Computers
Total pages :474
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This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.

Learning Processing

Learning Processing
Author : Daniel Shiffman
Publisher : Morgan Kaufmann
Release Date : 2015
Category : Computers
Total pages :542
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This book teaches you the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. Within these pages, ITP (Tisch School of the Arts, New York University) professor Daniel Shiffman demonstrates the fundamentals of programming that will expand your understanding of what is possible in the world of computer graphics. By travelling beyond the confines of proprietary software, you will be empowered to create your own custom design tools. * A friendly start-up guide to Processing, the free, open-source alternative to expensive software and daunting programming languages for the visual artist * No previous experience required-this book is for the true programming beginner! * Step-by-step examples, thorough explanations, hands-on exercises, and simple code samples support your learning curve. Source code and supplemental tutorials are also available through an online companion site

Deep Learning for Image Processing Applications

Deep Learning for Image Processing Applications
Author : D.J. Hemanth,V. Vieira Estrela
Publisher : IOS Press
Release Date : 2017-12
Category : COMPUTERS
Total pages :284
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Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.

Information Processing in Motor Control and Learning

Information Processing in Motor Control and Learning
Author : George E. Stelmach
Publisher : Academic Press
Release Date : 2014-06-28
Category : Psychology
Total pages :328
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Information Processing in Motor Control and Learning provides the theoretical ideas and experimental findings in the field of motor behavior research. The text presents a balanced combination of theory and empirical data. Chapters discuss several theoretical issues surrounding skill acquisition; motor programming; and the nature and significance of preparation, rapid movement sequences, attentional demands, and sensorimotor integration in voluntary movements. The book will be interesting to psychologists, neurophysiologists, and graduate students in related fields.

Getting Started with Processing.py

Getting Started with Processing.py
Author : Allison Parrish,Ben Fry,Casey Reas
Publisher : Maker Media, Inc.
Release Date : 2016-05-11
Category : Computers
Total pages :242
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Processing opened up the world of programming to artists, designers, educators, and beginners. The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, along with co-author Allison Parrish, Getting Started with Processing.py is your fast track to using Python's Processing mode.

Learning Approaches in Signal Processing

Learning Approaches in Signal Processing
Author : Wan-Chi Siu,Lap-Pui Chau,Liang Wang,Tieniu Tang
Publisher : CRC Press
Release Date : 2018-12-07
Category : Computers
Total pages :654
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Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

Machine Learning in Translation Corpora Processing

Machine Learning in Translation Corpora Processing
Author : Krzysztof Wolk
Publisher : CRC Press
Release Date : 2019-02-25
Category : Computers
Total pages :264
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This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the Polish language and therefore require adaptation, and language resources are lacking in parallel and monolingual data. The main objective of this volume to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual textual resources by mining comparable corpora.

The Nature of Code

The Nature of Code
Author : Daniel Shiffman
Publisher : Nature of Code
Release Date : 2012
Category : Computer programming
Total pages :498
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How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The book's examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the book's website (http: //www.natureofcode.com), the examples run in the browser via Processing's JavaScript mode.

Vocabulary Learning Strategies and Foreign Language Acquisition

Vocabulary Learning Strategies and Foreign Language Acquisition
Author : Višnja Pavičić Takač
Publisher : Multilingual Matters
Release Date : 2008
Category : Language Arts & Disciplines
Total pages :197
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The book discusses vocabulary learning strategies as an integral subgroup of language learning strategies. It defines language learning strategies in general and their features on the basis of cognitive theory and relevant models of second language acquisition as the basis for empirical research. Furthermore, the book gives a survey of research on vocabulary learning strategies and describes three original empirical studies. Thus, the book attempts at integrating the approaches of theories of second language acquisition, the theory and practice of instructed foreign language learning, and the findings of current empirical research.