Software detects stylistic features - The Tartan

Carl Doersch, a doctoral student studying machine learning, and his colleagues have developed new graphical software capable of identifying stylistic features of cities. The team, composed of researchers from both Carnegie Mellon and the Institut National de Recherche en Informatique et en Automatique, has published its work in the computer graphics journal ACM Transactions on Graphics. The process of finding related patterns between images is known as visual data mining. Project collaborator Alexei Efros, an associate professor of robotics and computer science at Carnegie Mellon, pointed out that the science is still relatively new. "The field of visual data mining is still in its infancy, but I believe it holds a lot of promise," he said in a university press release.