Computer Science and Center for Research in Computer Vision
Speaker: Dr. Christian Kümmerle From: University of North Carolina Abstract For a machine learning model’s ability to generalize well to unseen data, it has been understood that it needs to be able to capture a hidden, low-dimensional data distribution in the high-dimensional feature space. In this talk, we discuss several ML problems where the optimal model can only be identified if the …
CS/CRCV Seminars