I investigate the geometric science of information with applications ranging from machine learning to data science, visual computing, and artificial intelligence.
I deal with large high-dimensional, noisy, and heterogeneous dynamic datasets that are inherently non-Euclidean in nature.
To build advanced models and learning machines that capture both regularities and variations of datasets,
I develop geometric computational methods and toolboxes.
Since 2013, I co-organize the biannual international conference "Geometric Science of Information" (GSI).
Worldviews
"If you want to accomplish in your life, one thing that would contribute to the future of humanity - what is that?" How do researchers at Sony CSL reflect on these questions and engage with their own research? And what kind of place is Sony Computer Science Laboratories, shaped by such individuals? Through the words of the researchers themselves, we hope to share part of that perspective.
Keywords
Selected Publications
Nielsen, Frank and Bhatia, Rajendra
Matrix Information Geometrypages , 09, 2013
Nielsen, Frank
K-MLE: A fast algorithm for learning statistical mixture modelsAcoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on | 03, 2012
Frank Nielsen
Visual Computing: Geometry, Graphics, and VisionJuly, 2005
