Spatial data arises in many scientific applications including image analysis and biomedical engineering. Spatial regression is an important statistical tool in dealing with spatial data interpolation and prediction. Modern applications, such as neuroimaging brings additional complexity of higher dimension and large data size. In this talk we wil...
Creator:
Maiti, Tapabrata (Taps) (Michigan State University)
Created:
2018-02-23
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this lecture, we will go beyond Friday's course on structured sparsity, andconsider more complex models. Recently, a large amount of research instatistics and signal processing has been devoted to developing structuredsparse regularization functions. The goal is to encode some a priori knowledgeabout an estimation problem in the regularizatio...
Creator:
Mairal, Julien (INRIA )
Created:
2013-06-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We will discuss practical optimization algorithms for estimating sparse models,both from a statistics and a signal processing point of view. First, we willcover non-convex optimization techniques such as greedy algorithms andDC-programming. Second, we will focus on convex optimization: first-ordermethods, iterative reweighted least squares, and ...
Creator:
Mairal, Julien (INRIA )
Created:
2013-06-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In the terahertz frequency range, the effective (complex-valued) surfaceconductivity of atomically thick 2D materials such as graphene has apositive imaginary part that is considerably larger than the real part.This feature allows for the propagation of slowly decaying electromagneticwaves, called surface plasmon-polaritons (SPPs), that are conf...
Creator:
Maier, Matthias (University of Minnesota, Twin Cities)
Created:
2017-04-13
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The electric conductivity of atomically thick materials such as graphene yields an effective complex permittivity with a negative real part in the infrared spectrum. This feature allows for the propagation of slowly decaying electromagnetic waves, called surface plasmons-polaritons (SPPs), that are confined near the material interface with wavel...
Creator:
Maier, Matthias (University of Minnesota, Twin Cities)
Created:
2017-05-18
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Joint work with Dionisios Margetis (University of Maryland) and Mitchell Luskin (University of Minnesota).The electric conductivity of atomically thick materials such as graphene and black phosphorous yields an effective complex permittivity with a negative real part in the infrared spectrum. This feature allows for the propagation of slowly dec...
Creator:
Maier, Matthias (University of Minnesota, Twin Cities)
Created:
2016-12-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Relative to the rapid pace set in the X-ray and visible light regimes, developing electron ptychography into a useful, routine method for electrons has so far been a slow journey. The path has been hampered by hurdles such as inelastic and dynamical scattering, instrument instabilities and limited beam coherence, as well as by the sub-nanometer ...
Creator:
Maiden, Andrew (University of Sheffield)
Created:
2017-08-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.