Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the pas
Learning OpenCV by Gary Bradski and Adrian Kaehler Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. Learning OpenCV, the image of a giant peacock moth, and related trade dress are
Preface . 1 Introduction 2 Overview of Supervised Learning 2.1 Introduction 2.2 Variable Types and Terminology 2.3 Two Simple Approaches to Prediction: Least Squares and Nearest Neighbors 2.4 Statistical Decision Theory 2.5 Lo.cal Methods in High Di
it describes trasnsfer learning motivation, significance. It review on categorization of transfer learning, and present problems facing researchers and future directions
Computer vision is a rapidly growing field, partly as a result of both cheaper and more capable cameras, partly because of affordable processing power, and partly because vi- sion algorithms are starting to mature. OpenCV itself has played a role in
