Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research
暫譯: 現代機器學習技術及其在卡通動畫研究中的應用

Yu, Jun, Tao, Dacheng

Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research
  • 出版商: IEEE
  • 出版日期: 2013-03-18
  • 售價: $3,880
  • 貴賓價: 9.5 折 $3,686
  • 語言: 英文
  • 頁數: 196
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1118115147
  • ISBN-13: 9781118115145
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations in areas such as virtual reality, video games, animation films, and sport simulations

商品描述(中文翻譯)

機器學習技術與卡通動畫研究的整合正迅速成為一個熱門話題。本書幫助讀者學習最新的機器學習技術，包括補丁對齊框架（patch alignment framework）、光譜聚類（spectral clustering）、圖切割（graph cuts）和凸鬆弛（convex relaxation）、集成流形學習（ensemble manifold learning）、多核學習（multiple kernel learning）、多視角子空間學習（multiview subspace learning）以及多視角距離度量學習（multiview distance metric learning）。接著，本書介紹這些現代機器學習技術在卡通動畫研究中的應用。利用這些技術，使用者可以有效地利用卡通素材來生成動畫，應用於虛擬實境、視頻遊戲、動畫電影和運動模擬等領域。

作者簡介

JUN YU, PhD, is an Associate Professor in the Computer Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China. His current research interests include computer graphics, computer visions, and machine learning. He has authored or coauthored more than thirty scientific articles in journals including IEEE T-IP, IEEE TSMC-B, and Pattern Recognition.

DACHENG TAO, PhD, is Professor of Computer Science with the Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia. His research applies statistics and mathematics to data analysis problems in computer vision, data mining, machine learning, multimedia, and video surveillance. He has authored more than 100 scientific articles.

作者簡介(中文翻譯)

余俊，博士，是中國廈門大學資訊科學與工程學院計算機科學系的副教授。他目前的研究興趣包括計算機圖形學、計算機視覺和機器學習。他已在包括IEEE T-IP、IEEE TSMC-B和Pattern Recognition等期刊上發表或共同發表了三十多篇科學文章。

陶達成，博士，是澳大利亞悉尼科技大學量子計算與智能系統中心及工程與資訊技術學院的計算機科學教授。他的研究將統計學和數學應用於計算機視覺、數據挖掘、機器學習、多媒體和視頻監控等數據分析問題。他已發表超過100篇科學文章。

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