38 citations · 60 across the 4 of their papers we have counts for
5 papers
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application
Dominik Nuss, Stephan Reuter, Markus Thom +5
Grid mapping is a well established approach for environment perception in robotic and automotive applications. Early work suggests estimating the occupancy state of each grid cell…
Efficient Dictionary Learning with Sparseness-Enforcing Projections
Markus Thom, Matthias Rapp, Günther Palm
Learning dictionaries suitable for sparse coding instead of using engineered bases has proven effective in a variety of image processing tasks. This paper studies the optimization…
Sparse Activity and Sparse Connectivity in Supervised Learning
Markus Thom, Günther Palm
Sparseness is a useful regularizer for learning in a wide range of applications, in particular in neural networks. This paper proposes a model targeted at classification tasks, whe…
Rapid Exact Signal Scanning with Deep Convolutional Neural Networks
Markus Thom, Franz Gritschneder
A rigorous formulation of the dynamics of a signal processing scheme aimed at dense signal scanning without any loss in accuracy is introduced and analyzed. Related methods propose…
Efficient Sparseness-Enforcing Projections
Markus Thom, Günther Palm
We propose a linear time and constant space algorithm for computing Euclidean projections onto sets on which a normalized sparseness measure attains a constant value. These non-con…