4 papers
Three-dimensional blind deconvolution by CP-parameterized kernels
Fatoumata Sanogo, Stefan Kindermann
We consider the problem of reconstructing a kernel and image in a blind deconvolution problem from convolutional data . We particularly focus on the 3D case, i.e.,…
A Spatio-temporal CP decomposition analysis of New England region in the US
Fatoumata Sanogo
Spatio temporal data consist of measurement for one or more raster fields such as weather, traffic volume, crime rate, or disease incidents. Advances in modern technology have incr…
Tensor Deblurring and Denoising Using Total Variation
Fatoumata Sanogo, Carmeliza Navasca, Stefan Kindermann
We consider denoising and deblurring problems for tensors. While images can be discretized as matrices, the analogous procedure for color images or videos leads to a tensor formula…
Low-CP-rank Tensor Completion via Practical Regularization
Jiahua Jiang, Fatoumata Sanogo, Carmeliza Navasca
Dimension reduction techniques are often used when the high-dimensional tensor has relatively low intrinsic rank compared to the ambient dimension of the tensor. The CANDECOMP/PARA…