A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence
Boult, Terrance, Scheirer, Walter
相關主題
商品描述
This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.
作者簡介
Terrance E. Boult, Ph.D., is a Distinguished Professor and El Pomar Endowed Professor of Innovation and Security in the Department of Computer Science at the University of Colorado at Colorado Springs. He is also an IEEE Fellow and an internationally acknowledged researcher in machine learning, computer vision, biometrics, and cybersecurity with 15 patents issued and 400+ articles. Dr. Boult received the B.S. degree in Applied Mathematics, the M.S. degree in Computer Science, and the Ph.D. degree in Computer Science from Columbia University. He has won multiple teaching awards, research/innovation awards, best paper awards, best reviewer awards, and IEEE service awards. Walter Scheirer, Ph.D., is Dennis O. Doughty Collegiate Associate Professor in the Department of Computer Science and Engineering at the University of Notre Dame. Previously, he was a postdoctoral fellow at Harvard University with affiliations in the Schoolof Engineering and Applied Sciences, Department of Molecular and Cellular Biology, and Center for Brain Science. Dr. Scheirer received his Ph.D. from the University of Colorado and his M.S. and B.A. degrees from Lehigh University. He has extensive experience in the areas of computer vision, machine learning, and image processing. His current research is focused on media forensics and studying disinformation circulating on social media.
作者簡介(中文翻譯)
Terrance E. Boult, Ph.D.，是科羅拉多大學科羅拉多泉分校計算機科學系的傑出教授及El Pomar創新與安全教授。他同時也是IEEE Fellow，並在機器學習、計算機視覺、生物識別技術和網絡安全領域享有國際聲譽的研究者，擁有15項專利和400多篇文章。Boult博士獲得了哥倫比亞大學的應用數學學士學位、計算機科學碩士學位和計算機科學博士學位。他曾獲得多項教學獎、研究/創新獎、最佳論文獎、最佳審稿人獎和IEEE服務獎。
Walter Scheirer, Ph.D.，是聖母大學計算機科學與工程系的Dennis O. Doughty大學副教授。此前，他曾在哈佛大學擔任博士後研究員，並在工程與應用科學學院、分子與細胞生物學系及腦科學中心有相關聯繫。Scheirer博士在科羅拉多大學獲得博士學位，並在萊海大學獲得碩士和學士學位。他在計算機視覺、機器學習和影像處理領域擁有豐富的經驗。目前他的研究重點是媒體取證及研究在社交媒體上流傳的虛假信息。
