首页|Al-Iraqia University Researchers Update Current Study Findings on Machine Learni ng (Facial Expression Recognition: Machine Learning Algorithms and Feature Extra ction Techniques)
Al-Iraqia University Researchers Update Current Study Findings on Machine Learni ng (Facial Expression Recognition: Machine Learning Algorithms and Feature Extra ction Techniques)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on artificial intelligence are discussed in a new report. According to news reporting originating from Baghdad, Iraq, by NewsRx correspondents, research stated, "Facial expression recognition (FER) systems accurately identify facial expressions by extracting facial featu res." Our news journalists obtained a quote from the research from Al-Iraqia Universit y: "The extraction of robust facial features comes after automatic face detectio n in this procedure. On the FAR2013 dataset, a five-step system developed to ass ess the performance of machine learning algorithms. Components of the system inc lude preprocessing, feature extraction, model training and testing, classificati on, and evaluation. Three machine-learning algorithms utilized in this study: lo gistic regression (LR), random forest (RF), and AdaBoost (ADA). The RF algorithm achieved the highest degree of precision with a 61% success rate. The purpose of the study was to evaluate the performance of machine learning al gorithms on the FAR2013 dataset."
NETL
NSTL
