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Applied Computational Geometry. Towards Geometric Engineering
Content Description #Anthology selected from contributions to the First ACM Workshop on Applied Computational Geometry.#Includes bibliographical references and index.
Introduction to Computation and Programming Using Python, second edition
The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was de...
Rendering Techniques 2001
This book contains the proceedings of the lih Eurographics Workshop on Rendering, th which took place from the 25 to the 27th of June, 2001, in London, United Kingdom. Over the past 11 years, the workshop has become the premier forum dedicated to research in rendering. Much of the work in rendering now appearing in other conferences and journals builds on ideas originally presented at the workshop. This year we received a total of 74 submissions. Each paper was carefully reviewed by two of the 28 international programme committee members, as well as external reviewers, selected by the co-chairs from a pool of 125 individuals. In this review process, all submissions and reviews were handled e...
Rendering Techniques 2000
This book contains the proceedings of the 11th Eurographics Workshop on Rendering, which took place from the 26th to the 28th of June, 2000, in Brno, Czech Republic. Over the past 10 years, the Workshop has become the premier forum dedicated to research in rendering. Much of the work in rendering now appearing in other conferences and journals builds on ideas originally presented at the Workshop. This year we received a total of 84 submissions. Bachpaper was carefully reviewed by two of the 25 international programme committee members, as weil as external reviewers, selected by the co-chairs from a pool of 121 individuals (The programme committee and external reviewers are listed following t...
Modern Signal Processing
A description of the mathematical basis of signal processing, and many areas of application.
Computer Vision – ECCV 2018
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.
Genetic and Evolutionary Computation — GECCO 2004
The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.
Foundations of Computer Vision
An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundatio...
Introduction to Computation and Programming Using Python, third edition
The new edition of an introduction to the art of computational problem solving using Python. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning. All of the code in the book and an errata sheet are available on the book’s web page on the MIT Press website.
