Search Results - (((((((ant OR mantis) OR wikant) OR partes) OR cantor) OR anne) OR wikant) OR warten) algorithms.

Computer and machine vision : theory, algorithms, practicalities by Davies, E. R. (E. Roy)

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Between stillness and motion : film, photography, algorithms

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Computational aspects of discrete subgroups of lie groups : Virtual Conference on Computational Aspects of Discrete Subgroups of Lie Groups, June 14-18, 2021, Institute for Computa...

Table of Contents: “…Testing for nondistortion. Part III -- 11. Selberg's higher rank generalization of Dirichlet domain and the Poincaré Algorithm -- 12. …”
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Condition Monitoring with Vibration Signals : Compressive Sampling and Learning Algorithms for Rotating Machines. by Nandi, Asoke K.

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Vehicular networks : models and algorithms

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Wireless Communications : Algorithmic Techniques. by Vitetta, Giorgio

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Biomedical signal analysis : contemporary methods and applications by Theis, Fabian J.

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Parts-feeding systems for assembly : organisation, logistics and automation

Table of Contents: “…Cover; Editorial; Kanban-driven parts feeding within a semiautomated O-shaped assembly line: a case study in the automotive industry; Re-balancing problem for assembly lines: new mathematical model and exact solution method; A Changeover Time Reduction through an integration of lean practices: a case study from pharmaceutical sector; Planning models for continuous supply of parts in assembly systems; A decision model for kitting and line stocking with variable operator walking distances; Advances in assembly line parts feeding policies: a literature review.…”
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Relational data clustering : models, algorithms, and applications

Table of Contents: “…Front cover; Contents; List of Tables; List of Figures; Preface; Chapter 1: Introduction; Part I: Models; Chapter 2: Co-Clustering; Chapter 3: Heterogeneous Relational Data Clustering; Chapter 4: Homogeneous Relational Data Clustering; Chapter 5: General Relational Data Clustering; Chapter 6: Multiple-View Relational Data Clustering; Chapter 7: Evolutionary Data Clustering; Part II: Algorithms; Chapter 8: Co-Clustering; Chapter 9: Heterogeneous Relational Data Clustering; Chapter 10: Homogeneous Relational Data Clustering; Chapter 11: General Relational Data Clustering.…”
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Handbook of Satisfiability : Handbook of Satisfiability. by Biere, A.

Table of Contents: “…Title page; Contents; Part I. Theory and Algorithms; Chapter 1. A History of Satisfiability; 1.1 Preface: the concept of satisfiability; 1.2 The ancients; 1.3 The medieval period; 1.4 The renaissance; 1.5 The first logic machine; 1.6 Boolean algebra; 1.7 Frege, logicism, and quantification logic; 1.8 Russell and Whitehead; 1.9 G""odel's incompleteness theorem; 1.10 Effective process and recursive functions; 1.11 Herbrand's theorem; 1.12 Model theory and Satisfiability; 1.13 Completeness of first-order logic; 1.14 Application of logic to circuits; 1.15 Resolution.…”
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Discrete Algebraic Methods : Arithmetic, Cryptography, Automata and Groups

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Stochastic processes in polymeric fluids : tools and examples for developing simulation algorithms by Öttinger, Hans Christian, 1958-

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Recent developments in computational finance : foundations, algorithms and applications

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JPEG2000 standard for image compression : concepts, algorithms and VLSI architectures by Acharya, Tinku

Table of Contents: “…Preface; 1 Introduction to Data Compression; 2 Source Coding Algorithms; 3 JPEG: Still Image Compression Standard; 4 Introduction to Discrete Wavelet Transform; 5 VLSI Architectures for Discrete Wavelet Transforms; 6 JPEG2000 Standard; 7 Coding Algorithms in JPEG2000; 8 Code-Stream Organization and File Format; 9 VLSI Architectures for JPEG2000; 10 Beyond Part 1 of JPEG2000 Standard; Index; About the Authors.…”
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Hyperspectral Data Processing : Algorithm Design and Analysis. by Chang, Chein-I

Table of Contents: “…HYPERSPECTRAL DATA PROCESSING: Algorithm Design and Analysis; CONTENTS; PREFACE; 1 OVERVIEWAND INTRODUCTION; 1.1 Overview; 1.2 Issues of Multispectral and Hyperspectral Imageries; 1.3 Divergence of Hyperspectral Imagery from Multispectral Imagery; 1.3.1 Misconception: Hyperspectral Imaging is a Natural Extension of Multispectral Imaging; 1.3.2 Pigeon-Hole Principle: Natural Interpretation of Hyperspectral Imaging; 1.4 Scope of This Book; 1.5 Book's Organization; 1.5.1 Part I: Preliminaries; 1.5.2 Part II: Endmember Extraction; 1.5.3 Part III: Supervised Linear Hyperspectral Mixture Analysis.…”
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Adventures in Raspberry Pi by Philbin, Carrie Anne

Table of Contents: “…Programming the Sensors to Find Out the Current Temperature -- Creating Pixel Art -- Creating a Sense HAT Desk Thermometer -- Further Adventures with Cameras and HATs -- Chapter 10 The Big Adventure: Building a Raspberry Pi Jukebox -- An Overview of the Jukebox Project -- What You Will Need -- Part One: Creating the LCD Screen -- Preparing the LCD Screen by Adding Headers -- Mounting the LCD Screen and Wiring Up the Breadboard -- Adding Scripts to Drive the LCD Screen -- Part Two: Downloading and Playing MP3s -- Installing a Media Player and Getting Music Files -- Writing a Jukebox Python Program -- Part Three: Controlling the Jukebox with Buttons -- Connecting the Buttons -- Adapting Your Jukebox Program to Include GPIO Buttons -- Part Four: Displaying Jukebox Information on the LCD Screen -- Finishing Up -- Appendix Where to Go from Here -- Websites -- Clubs -- Inspiring Projects and Tutorials -- Videos -- Books and Magazines -- Glossary -- Index -- EULA.…”
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Turing's vision : the birth of computer science by Bernhardt, Chris

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DataFlow supercomputing essentials : algorithms, applications and implementations by Milutinović, Veljko, Kotlar, Milos, Stojanovic, Marko, Dundic, Igor, Trifunovic, Nemanja (Writer on computing), Babovic, Zoran

Table of Contents: “…Part I: Algorithms -- Implementing Neural Networks by Using the DataFlow Paradigm -- Part II: Applications -- Solving the Poisson Equation by Using Dataflow Technology -- Binary Search in the DataFlow Paradigm -- Part III: Implementations -- Introductory Overview on Implementation Tools -- DataFlow Systems: From Their Origins to Future Applications in Data Analytics, Deep Learning, and the Internet of Things.…”
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Architectures for computer vision : from algorithm to chip with Verilog by Jeong, Hong

Table of Contents: “…Architectures for Computer Vision -- Contents -- About the Author -- Preface -- Part One Verilog HDL -- 1 Introduction -- 1.1 Computer Architectures for Vision -- 1.2 Algorithms for Computer Vision -- 1.3 Computing Devices for Vision -- 1.4 Design Flow for Vision Architectures -- Problems -- References -- 2 Verilog HDL, Communication, and Control -- 2.1 The Verilog System -- 2.2 Hello, World! …”
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Intelligence emerging : adaptivity and search in evolving neural systems by Downing, Keith L.

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