49 citations · 131 across the 37 of their papers we have counts for
9 papers · 1 filter
Anchored-STFT and GNAA: An extension of STFT in conjunction with an adversarial data augmentation technique for the decoding of neural signals
Omair Ali, Muhammad Saif-ur-Rehman, Susanne Dyck +3
Brain-computer interfaces (BCIs) enable communication between humans and machines by translating brain activity into control commands. Electroencephalography (EEG) signals are one…
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation
Nils Müller, Tobias Glasmachers
In stochastic optimization, particularly in evolutionary computation and reinforcement learning, the optimization of a function is often addressed through opti…
Methods of the Vehicle Re-identification
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
Most of researchers use the vehicle re-identification based on classification. This always requires an update with the new vehicle models in the market. In this paper, two types of…
Data Augmentation and Clustering for Vehicle Make/Model Classification
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
Vehicle shape information is very important in Intelligent Traffic Systems (ITS). In this paper we present a way to exploit a training data set of vehicles released in different ye…
Latent Representation Prediction Networks
Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer +2
Deeply-learned planning methods are often based on learning representations that are optimized for unrelated tasks. For example, they might be trained on reconstructing the environ…
Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions
Youhei Akimoto, Anne Auger, Tobias Glasmachers +1
Evolution strategies (ESs) are zeroth-order stochastic black-box optimization heuristics invariant to monotonic transformations of the objective function. They evolve a multivariat…