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Description:: Traffic anomalies in communication networks greatly degrade network performance. In this talk, I will survey statistical and machine learning techniques that are used to classify and detect network anomalies such as Internet worms that affect performance of routing protocols. Various classification features are used to design anomaly detection m...
Creator:: Trajkovic, Ljiljana (Simon Fraser University)
Created:: 2012-09-05
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2018-06-19

Description:: Mean-field games (MFG) is a framework to model and analyze huge populations of interacting agents that play non-cooperative differential games with applications in crowd motion, economics, finance, etc. Additionally, the PDE that arise in MFG have a rich mathematical structure and include those that appear in optimal transportation and density f...
Creator:: Nurbekyan, Levon (University of California, Los Angeles)
Created:: 2020-11-03
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: We consider the problem of learning models of scattering that decomposes scene returns into a set of scattering centers with limited persistence by utilizing sparsity of scattering coefficients. We consider both mono-static and bi-static radar collection geometries along wide-angle trajectories. The resulting sparse model can be interrogated at ...
Creator:: Bouman, Charles (Purdue University)
Created:: 2018-10-23
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2019-02-04

Description:: Computer vision and image analysis are major application examples of deep learning. While computer vision and image analysis deal with existing images and produce features of these images (images to features), tomographic imaging produces images of multi-dimensional structures from experimentally measured “encoded” data as various tomographic fe...
Creator:: Wang, Ge (Rensselaer Polytechnic Institute)
Created:: 2019-10-16
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: We can improve the detection of targets and anomalies in a cluttered background by more effectively estimating that background. With a good estimate of what the target-free radiance or reflectance ought to be at a pixel, we have a point of comparison with what the measured value of that pixel actually happens to be. It is common to make this est...
Creator:: Theiler, James (Los Alamos National Laboratory)
Created:: 2018-10-24
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2019-02-04

Description:: The red ends of the drawstring pulls have block printing that imitate bandhani.
Contributed By:: Donald Clay Johnson
Page Count:: 4
Last Updated:: 2018-12-07