Abstract:
What is it like to be a graduate student or research scientists at an
internationally recognized institution? And how does one obtain such a
position? Many students close to their graduation have asked themselves
these or similar questions.
In my talk I will introduce you to the Institute of Science and
Technology Austria (IST Austria), which is a young international
research institute located in Vienna, dedicated to basic research and
interdisciplinary graduate education in the natural and mathematical
sciences. I will furthermore highlight some of the research that is
going on at IST Austria, concentrating in particular on questions
studied in my own research group for computer vision and machine
learning. These include the development and analysis of algorithms for
transfer learning and structured prediction, as well as applications to
challenging computer vision problems, such as object recognition and
semantic image segmentation.
internationally recognized institution? And how does one obtain such a
position? Many students close to their graduation have asked themselves
these or similar questions.
In my talk I will introduce you to the Institute of Science and
Technology Austria (IST Austria), which is a young international
research institute located in Vienna, dedicated to basic research and
interdisciplinary graduate education in the natural and mathematical
sciences. I will furthermore highlight some of the research that is
going on at IST Austria, concentrating in particular on questions
studied in my own research group for computer vision and machine
learning. These include the development and analysis of algorithms for
transfer learning and structured prediction, as well as applications to
challenging computer vision problems, such as object recognition and
semantic image segmentation.
Кристоф Ламперт — профессор австрийского университета Науки и технологий IST Austria.
В ходе лекции профессор расскажет о научных исследованиях в IST Austria и разработках исследовательской группы его лаборатории в области машинного обучения и компьютерного зрения.