Bing Xue

This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate andpostgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.

This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate andpostgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.

This book records the author's life and work in a dozen different places in Nanjing over the past 70 years, such as Hanximen, Xinjiekou, the Confucius Temple, Qingliangshan, Dingjiaqiao, Dudaiying, and Qinhuaihe. They are scattered around literally every corner of Nanjing, each of which is closely tied to the author's particular stages of life. The description of each place is imprinted with personal memory and the surrounding history, leaving traces of a certain time and space in Nanjing. Although this book is a miniature brief history of a personal life, it also reflects the historical changes of Nanjing and the emotional trajectory of the ordinary people living there. There are in this book hand-painted illustrations by prestigious Nanjing painters, which reflect the details of the personal journey and the changes of the times through the juxtaposition of words and pictures.