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Algorithms for 2D Engineering Drawings Recognition

Research works of 2D CAD conversion of engineering drawings are presented. We developed a sparse pixel vectorization algorithm for crude;

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3D Reconstruction from 2D Camera Perspectives

Engineering industry requires line drawings for manufacturing, machining and production of engineering equipments/objects. The generation;

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Signal and Image Processing for Biometrics

extraction, speech recognition, 2D/3D face biometrics, video surveillance and other interesting approaches are presented. Moreover, in some chapters;

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Introduction to Pattern Recognition

, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer;

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2D and 3D Image Analysis by Moments

. 2D and 3D Image Analysis by Moments, is ideal for mathematicians, computer scientists, engineers, software developers, and Ph.D students;

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AutoCAD 2016

architectural 2D drawings. Taken together, this textbook can be a great starting point for new AutoCAD users and a great teaching aid in classroom;

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AutoCAD 2017

architectural 2D drawings. Taken together, this textbook can be a great starting point for new AutoCAD users and a great teaching aid in classroom;

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Introduction to AutoCAD 2009

is reflected in the book. The 2D chapters are also suitable for those learning how to use AutoCAD LT 2009. Suitable for all new users of AutoCAD;

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Technical Drawing

For courses in Engineering Graphics/Technical Drawing and Drafting/Technical Sketching. This authoritative text provides a clear and;

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Bio-inspired Algorithms for Engineering

Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and;

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Getting Started with DraftSight

! Getting Started withDraftSightis for anyyone who wants to create accurate 2D drawings in the DWG file format. It is also a great resource for;

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Mem09005b Perform Basic Engineering Drafting

This unit covers producing drawings to Australian Standard 1100 or equivalent where the critical dimensions and associated tolerances for;

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Image Processing and Pattern Recognition

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech;

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Data Complexity in Pattern Recognition

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its;

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Data Complexity in Pattern Recognition

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its;

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Introduction to AutoCAD 2010

software is reflected in the book. The 2D chapters are also suitable for those learning how to use AutoCAD LT 2010. Suitable for all new users;

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Introduction to AutoCAD 2010

software is reflected in the book. The 2D chapters are also suitable for those learning how to use AutoCAD LT 2010. Suitable for all new users;

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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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AutoCAD 2010 2D Building Drawings

Suitable for those involved in building design, this book offers practical instructions on how architectural designs are easily performed;

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Genetic Algorithms for Pattern Recognition

presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.;

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Genetic Algorithms for Pattern Recognition

presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.;

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Technical Drawing Engineering Graphics

This full-color text offers a clear, complete introduction and detailed reference for creating 3D models and 2D documentation drawings;

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Introduction to AutoCAD 2009

is reflected in the book. The 2D chapters are also suitable for those learning how to use AutoCAD LT 2009.Suitable for all new users;

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Textbook on Pattern Recognition

is clearly presented and illustrated by many examples and applications and is designed for use as a text for course in pattern recognition for both;

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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which;

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Machine Learning for Speaker Recognition

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition;

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Handbook of Graph Drawing and Visualization

present a large collection of algorithms for constructing drawings of graphs, including tree, planar straight-line, planar orthogonal and polyline;

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