6 papers
Reservoir Zero-Coordinatewise Projected Subspace Search for Minimization Over Sparse Symmetric Sets in Machine Learning
Morteza Kimiaei, Shima Shabani, Michael Breuss
We study a class of nonconvex cardinality-constrained optimization problems arising in sparse learning. These problems are NP-hard due to the combinatorial nature of sparsity const…
Autonomous Unmanned Aircraft Systems for Enhanced Search and Rescue of Drowning Swimmers: Image-Based Localization and Mission Simulation
Sascha Emanuel Zell, Toni Schneidereit, Armin Fügenschuh +1
Drowning is an omnipresent risk associated with any activity on or in the water, and rescuing a drowning person is particularly challenging because of the time pressure, making a s…
Morphological Granulometric Analysis of Particle Imagery from Microgravity Experiments
Shima Shabani, Michael BreuÃ, Marvin Kahra +3
The aim of our work is to analyze size distributions of particles and their agglomerates in imagery from astrophysical microgravity experiments. The data acquired in these experime…
Quality Versus Sparsity in Image Recovery by Dictionary Learning Using Iterative Shrinkage
Mohammadsadegh Khoshghiaferezaee, Moritz Krauth, Shima Shabani +1
Sparse dictionary learning (SDL) is a fundamental technique that is useful for many image processing tasks. As an example we consider here image recovery, where SDL can be cast as…
Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage
Shima Shabani, Mohammadsadegh Khoshghiaferezaee, Michael BreuÃ
In this paper we study the sparse coding problem in the context of sparse dictionary learning for image recovery. To this end, we consider and compare several state-of-the-art spar…
Semi-Monotone Goldstein Line Search Strategy with Application in Sparse Recovery
Shima Shabani, Michael BreuÃ
Line search methods are a prominent class of iterative methods to solve unconstrained minimization problems. These methods produce new iterates utilizing a suitable step size after…