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從零開始了解電腦圖學

從像素到光影的完整旅程

by 零的零次方 ...

Series series 從零開始
遊戲裡的即時光影、電影裡以假亂真的角色——這些畫面都是電腦一個像素一個像素算出來的。問題是：怎麼算？本書順著渲染管線從頭走到尾：先用向量與矩陣把三維世界擺進螢幕座標，光柵化把三角形變成像素，著色與貼圖給表面顏色與質感，再進到光線追蹤與 PBR（物理式渲染）如何逼近真實的光，最後看動畫、以及現代即時渲染在效能與品質之間的取捨。每個主題先講「它要解決什麼問題」，再講做法，數學只在需要時出場。讀完不見得馬上寫得出引擎，但你會看懂每個畫面背後真正發生的事——那常常比畫面本身更迷人。適合玩家、想入門圖學的工程師、技術美術，以及所有對「螢幕裡的世界怎麼來」好奇的人。《從零開始》系列的每一本，都為沒有背景的讀者而寫：先給直覺與比喻，需要時才端出數學與細節，把一個領域鋪成一條可以自學走完的路。 ... Read more

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遊戲裡的即時光影、電影裡以假亂真的角色——這些畫面都是電腦一個像素一個像素算出來的。問題是：怎麼算？本書順著渲染管線從頭走到尾：先用向量與矩陣把三維世界擺進螢幕座標，光柵化把三角形變成像素，著色與貼圖給表面顏色與質感，再進到光線追蹤與 PBR（物理式渲染）如何逼近真實的光，最後看動畫、以及現代即時渲染在效能與品質之間的取捨。每個主題先講「它要解決什麼問題」，再講做法，數學只在需要時出場。讀完不見得馬上寫得出引擎，但你會看懂每個畫面背後真正發生的事——那常常比畫面本身更迷人。適合玩家、想入門圖學的工程師、技術美術，以及所有對「螢幕裡的世界怎麼來」好奇的人。《從零開始》系列的每一本，都為沒有背景的讀者而寫：先給直覺與比喻，需要時才端出數學與細節，把一個領域鋪成一條可以自學走完的路。
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The Last Emperor: Constantine XI Paleologus

by Chemdomil Mijatovich ...

Constantine XI Dragases Palaiologos, Latinized as Palaeologus was the last reigningRoman and Byzantine Emperor, ruling as a member of the Palaiologos dynasty from 1449 to his death in battle at the fall of Constantinople in 1453. This is the story of the Last Emperor of the Byzantine Empire, and the Fall of Constantinople to the Ottoman Turks. ... Read more

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Constantine XI Dragases Palaiologos, Latinized as Palaeologus was the last reigningRoman and Byzantine Emperor, ruling as a member of the Palaiologos dynasty from 1449 to his death in battle at the fall of Constantinople in 1453. This is the story of the Last Emperor of the Byzantine Empire, and the Fall of Constantinople to the Ottoman Turks.
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Algorithms on Strings, Trees, and Sequences

Computer Science and Computational Biology

by Dan Gusfield ...

String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This book is a general text on computer algorithms for string processing. In addition to pure computer science, the book ... Read more

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String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This book is a general text on computer algorithms for string processing. In addition to pure computer science, the book
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Computer Vision for Visual Effects

by Richard J. Radke ...

Modern blockbuster movies seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer Vision for Visual Effects will educate students, engineers and researchers about the fundamental computer vision principles ... Read more

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Modern blockbuster movies seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer Vision for Visual Effects will educate students, engineers and researchers about the fundamental computer vision principles
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Emerging Computing Paradigms

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by San Murugesan, Ashish Seth, Umang Singh ...

EMERGING COMPUTING PARADIGMSA holistic overview of major new computing paradigms of the 21st CenturyIn Emerging Computing Paradigms: Principles, Advances and Applications, international scholars offer a compendium of essential knowledge on new promising computing paradigms. The book examines the characteristics and features of emerging computing technologies and provides insight into recent ... Read more

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EMERGING COMPUTING PARADIGMSA holistic overview of major new computing paradigms of the 21st CenturyIn Emerging Computing Paradigms: Principles, Advances and Applications, international scholars offer a compendium of essential knowledge on new promising computing paradigms. The book examines the characteristics and features of emerging computing technologies and provides insight into recent
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Visualization Analysis and Design

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Series series AK Peters Visualization Series
Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques ... Read more

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Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques
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Biomedical Signal and Image Processing

by Kayvan Najarian, Robert Splinter ...

Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this ... Read more

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Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this
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Automated Machine Learning

Methods, Systems, Challenges

Edited by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren ...

Series series The Springer Series on Challenges in Machine Learning
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML ... Read more

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This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML
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Understanding Machine Learning

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by Shai Shalev-Shwartz, Shai Ben-David ...

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical ... Read more

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Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical
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Cloud-Based Remote Sensing with Google Earth Engine

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This book guides its audience—which can range from novice users to experts— though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of effort from more than a hundred individuals, collecting new exercises from professors, undergraduates, master’s students, PhD students, postdocs, and independent consultants.Cloud Based
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Experimental Human-Computer Interaction

A Practical Guide with Visual Examples

by Helen C. Purchase ...

Experiments that require the use of human participants are time consuming and costly: it is important to get the process right the first time. Planning and preparation are key to success. This practical book takes the human-computer interaction researcher through the complete experimental process, from identifying a research question to designing and conducting an experiment, and then to analysing ... Read more

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Experiments that require the use of human participants are time consuming and costly: it is important to get the process right the first time. Planning and preparation are key to success. This practical book takes the human-computer interaction researcher through the complete experimental process, from identifying a research question to designing and conducting an experiment, and then to analysing
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Cloudera Administration Handbook

by Rohit Menon ...

An easy-to-follow Apache Hadoop administrator's guide filled with practical screenshots and explanations for each step and configuration. This book is great for administrators interested in setting up and managing a large Hadoop cluster. If you are an administrator, or want to be an administrator, and you are ready to build and maintain a production-level cluster running CDH5, then this book is ... Read more

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An easy-to-follow Apache Hadoop administrator's guide filled with practical screenshots and explanations for each step and configuration. This book is great for administrators interested in setting up and managing a large Hadoop cluster. If you are an administrator, or want to be an administrator, and you are ready to build and maintain a production-level cluster running CDH5, then this book is
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Computer Age Statistical Inference

Algorithms, Evidence, and Data Science

by Bradley Efron, Trevor Hastie ...

Series Book 5 - Institute of Mathematical Statistics Monographs
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... Read more

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The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating
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The Little Book of Data

Understanding the Powerful Analytics that Fuel AI, Make or Break Careers, and Could Just End Up Saving the World

by Justin Evans ...

Data is not about number crunching. It’s about ideas. And when used properly (read: ethically), it is the problem solver of our time.Yet many savvy people seem to be in data denial: they don’t think they need to understand data, or it’s too complicated, or worse, using it is somehow unethical. Yet as data and AI (just an accelerated way to put data to work) move to the center of professional and ... Read more

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Data is not about number crunching. It’s about ideas. And when used properly (read: ethically), it is the problem solver of our time.Yet many savvy people seem to be in data denial: they don’t think they need to understand data, or it’s too complicated, or worse, using it is somehow unethical. Yet as data and AI (just an accelerated way to put data to work) move to the center of professional and
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Introduction to Applied Linear Algebra

Vectors, Matrices, and Least Squares

by Stephen Boyd, Lieven Vandenberghe ...

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and ... Read more

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This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and
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Handbook of Vascular Biometrics

Edited by Andreas Uhl, Christoph Busch, Sébastien Marcel, Raymond Veldhuis ...

Series series Advances in Computer Vision and Pattern Recognition
This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open ... Read more

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This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open
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Kernel Methods for Pattern Analysis

by John Shawe-Taylor, Nello Cristianini ...

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed ... Read more

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Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed
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State Estimation for Robotics

by Timothy D. Barfoot ...

A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and ... Read more

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A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and
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High-Dimensional Statistics

A Non-Asymptotic Viewpoint

by Martin J. Wainwright ...

Series Book 48 - Cambridge Series in Statistical and Probabilistic Mathematics
Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters ... Read more

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Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters
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Building Computer Vision Projects with OpenCV 4 and C++

Implement complex computer vision algorithms and explore deep learning and face detection

by David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot ...

Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithmsKey FeaturesDiscover best practices for engineering and maintaining OpenCV projectsExplore important deep learning tools for image classificationUnderstand basic image matrix formats and filtersBook DescriptionOpenCV is one of the best open ... Read more

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Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithmsKey FeaturesDiscover best practices for engineering and maintaining OpenCV projectsExplore important deep learning tools for image classificationUnderstand basic image matrix formats and filtersBook DescriptionOpenCV is one of the best open
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

by Nello Cristianini, John Shawe-Taylor ...

This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard ... Read more

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This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard
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Deep Learning

Computer Vision, Python Machine Learning And Neural Networks

by Rob Botwright ...

Introducing the Ultimate AI Book Bundle: Deep Learning, Computer Vision, Python Machine Learning, and Neural NetworksAre you ready to embark on an exhilarating journey into the world of artificial intelligence, deep learning, and computer vision? Look no further! Our carefully curated book bundle, "DEEP LEARNING: COMPUTER VISION, PYTHON MACHINE LEARNING AND NEURAL NETWORKS," offers you a ... Read more

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Introducing the Ultimate AI Book Bundle: Deep Learning, Computer Vision, Python Machine Learning, and Neural NetworksAre you ready to embark on an exhilarating journey into the world of artificial intelligence, deep learning, and computer vision? Look no further! Our carefully curated book bundle, "DEEP LEARNING: COMPUTER VISION, PYTHON MACHINE LEARNING AND NEURAL NETWORKS," offers you a
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The Cambridge Handbook of Cognitive Linguistics

Edited by Barbara Dancygier ...

Series series Cambridge Handbooks in Language and Linguistics
The best survey of cognitive linguistics available, this Handbook provides a thorough explanation of its rich methodology, key results, and interdisciplinary context. With in-depth coverage of the research questions, basic concepts, and various theoretical approaches, the Handbook addresses newly emerging subfields and shows their contribution to the discipline. The Handbook introduces fields of ... Read more

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The best survey of cognitive linguistics available, this Handbook provides a thorough explanation of its rich methodology, key results, and interdisciplinary context. With in-depth coverage of the research questions, basic concepts, and various theoretical approaches, the Handbook addresses newly emerging subfields and shows their contribution to the discipline. The Handbook introduces fields of
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What to do with your Digital Photos

by Collins ...

This one-stop practical guide will show you how to make the most of your digital photos. To make your progress easier, it comes in a handy format with colour photos and expert advice throughout.Over three billion digital photos are sitting on hard discs in the UK alone – yet the potential they contain remains largely unfulfilled, and many are in danger of being lost forever if a computer crashes ... Read more

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This one-stop practical guide will show you how to make the most of your digital photos. To make your progress easier, it comes in a handy format with colour photos and expert advice throughout.Over three billion digital photos are sitting on hard discs in the UK alone – yet the potential they contain remains largely unfulfilled, and many are in danger of being lost forever if a computer crashes
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Recommended For You

Optical Data Processing eBooks

從零開始了解電腦圖學

The Last Emperor: Constantine XI Paleologus

Algorithms on Strings, Trees, and Sequences

Computer Vision for Visual Effects

Emerging Computing Paradigms

Visualization Analysis and Design

Biomedical Signal and Image Processing

Automated Machine Learning

Understanding Machine Learning

Cloud-Based Remote Sensing with Google Earth Engine

Experimental Human-Computer Interaction

Cloudera Administration Handbook

Computer Age Statistical Inference

The Little Book of Data

Introduction to Applied Linear Algebra

Handbook of Vascular Biometrics

Kernel Methods for Pattern Analysis

State Estimation for Robotics

High-Dimensional Statistics

Building Computer Vision Projects with OpenCV 4 and C++

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Deep Learning

The Cambridge Handbook of Cognitive Linguistics

What to do with your Digital Photos