Advanced Data Science and Computational Intelligence (single issue)
Computer Vision and Pattern Recognition
Machine-based interpretation of visual information has become an integral part of modern intelligent systems. Computer Vision and Pattern Recognition aim to make it possible for computational models to process imagery data, videos, and multidimensional data sets and extract useful information related to object detection, pattern recognition, feature extraction, and automatic decision making. Applications of these technologies can be seen in the fields of health care, diagnostics, automotive industry, robotics, security, manufacturing, remote sensing, and many others. Machine perception is constantly evolving, with learning methods and computer vision techniques becoming more efficient and flexible thanks to advances made by researchers. The Journal of Advanced Data Science and Computational Intelligence is always interested in publishing papers that present the results of research in the field of computer vision methodology, pattern analysis techniques, image understanding approaches, and intelligent vision systems.