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Found 6 papers, 0 papers with code
Coupled CP tensor decomposition with shared and distinct components for multi-task fMRI data fusion
Discovering components that are shared in multiple datasets, next to dataset-specific features, has great potential for studying the relationships between different subjects or tasks in functional Magnetic Resonance Imaging (fMRI) data.
Polarimetric phase retrieval: uniqueness and algorithms
This work introduces a novel Fourier phase retrieval model, called polarimetric phase retrieval that enables a systematic use of polarization information in Fourier phase retrieval problems.
Tensor-based framework for training flexible neural networks
Activation functions (AFs) are an important part of the design of neural networks (NNs), and their choice plays a predominant role in the performance of a NN.
A general framework for constrained convex quaternion optimization
This paper introduces a general framework for solving constrained convex quaternion optimization problems in the quaternion domain.
Optimization and Control Signal Processing
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion with Inter-Image Variability
In this paper, we consider the image fusion problem while accounting for both spatially and spectrally localized changes in an additive model.
Homotopy based algorithms for $\ell_0$-regularized least-squares
Among the many efficient $\ell_1$ solvers, the homotopy algorithm minimizes $\|y-Ax\|_2^2+\lambda\|x\|_1$ with respect to x for a continuum of $\lambda$'s.
