20 citations · 25 across the 4 of their papers we have counts for
5 papers
Learning Entropy Signature for Image Representation and Classification
Jan Glaser, Ivo Bukovsky, Noriyasu Homma +1
Learning Entropy (LE) has recently been extended to image analysis through Spatial Learning Entropy Maps (SLEMs), which are two-dimensional LE distributions that highlight unusuall…
Learning Entropy and Spatial Adaptation Dynamics of Multilayer Perceptrons for Structural Point Extraction
Jan Glaser, Ivo Bukovsky, Marcel Jirina
This paper extends the concept of Learning Entropy (LE) from temporal adaptive systems to spatial learning in multilayer perceptron networks (MLPs) applied to image data. Instead o…
A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings
Ivo Bukovsky, Gejza Dohnal, Peter M. Benes +2
This letter summarizes and proves the concept of bounded-input bounded-state (BIBS) stability for weight convergence of a broad family of in-parameter-linear nonlinear neural archi…
An Approach to Stable Gradient Descent Adaptation of Higher-Order Neural Units
Ivo Bukovsky, Noriyasu Homma
Stability evaluation of a weight-update system of higher-order neural units (HONUs) with polynomial aggregation of neural inputs (also known as classes of polynomial neural network…
Neural Network Approach to Railway Stand Lateral Skew Control
Peter Mark Benes, Ivo Bukovsky, Matous Cejnek +1
The paper presents a study of an adaptive approach to lateral skew control for an experimental railway stand. The preliminary experiments with the real experimental railway stand a…