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07/11/2022
Multi-level Geometric Optimization for Regularised Constrained Linear Inverse Problems
We present a geometric multi-level optimization approach that smoothly i...
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01/26/2022
Self-Certifying Classification by Linearized Deep Assignment
We propose a novel class of deep stochastic predictors for classifying m...
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08/02/2021
Learning Linearized Assignment Flows for Image Labeling
We introduce a novel algorithm for estimating optimal parameters of line...
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09/12/2020
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography
We consider reconstructing multi-channel images from measurements perfor...
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11/13/2019
Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case
In this paper we conduct a study of both superiorization and optimizatio...
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11/08/2019
Self-Assignment Flows for Unsupervised Data Labeling on Graphs
This paper extends the recently introduced assignment flow approach for ...
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10/22/2019
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment
We study the inverse problem of model parameter learning for pixelwise i...
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04/24/2019
Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment
This paper introduces the unsupervised assignment flow that couples the ...
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12/23/2018
Performance Bounds For Co-/Sparse Box Constrained Signal Recovery
The recovery of structured signals from a few linear measurements is a c...
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03/16/2016
