Get started
Author

Marika Kästner

Observed names: Kästner, Marika, M. Kastner, Marika Kastner
Observed institution: Hochschule Mittweida
OpenAlex ID: A5069055844
Functional relevance learning in generalized learning vector quantization
2012 · Marika Kästner, Barbara Hammer, et al. · Neurocomputing · 37
PDF
A sparse kernelized matrix learning vector quantization model for human activity recognition.
2013 · Marika Kästner, Marc Strickert, et al. · 29
Differentiable Kernels in Generalized Matrix Learning Vector Quantization
2012 · Marika Kastner, David Nebel, et al. · International Conference on Machine Learning and Applications · 14
PDF
Gradient Based Learning in Vector Quantization Using Differentiable Kernels
2012 · Thomas Villmann, Sven Haase, et al. · Advances in intelligent systems and computing · 13
Generalized functional relevance Learning Vector Quantization
2011 · Marika Kästner, Barbara Hammer, et al. · University of Groningen research database (University of Groningen / Centre for Information Technology) · 11
PDF
Border-Sensitive Learning in Kernelized Learning Vector Quantization
2013 · Marika Kästner, Martin Riedel, et al. · Lecture notes in computer science · 10
Non-Euclidean Principal Component Analysis and Oja’s Learning Rule – Theoretical Aspects
2012 · Michael Biehl, Marika Kästner, et al. · Advances in intelligent systems and computing · 9
Processing Hyperspectral Data in Machine Learning.
2013 · Thomas Villmann, Marika Kästner, et al. · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 7
Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization
2012 · Marika Kästner, Thomas Villmann · Lecture notes in computer science · 7
ICMLA Face Recognition Challenge -- Results of the Team Computational Intelligence Mittweida
2012 · Thomas Villmann, Marika Kastner, et al. · International Conference on Machine Learning and Applications · 6
Regularization in Relevance Learning Vector Quantization Using l one Norms
2013 · Riedel, Martin, Kästner, Marika, et al. · arXiv (Cornell University) · 5
PDF
Relevance Learning in Unsupervised Vector Quantization Based on Divergences
2011 · Marika Kästner, Andreas Backhaus, et al. · Lecture notes in computer science · 5
Fuzzy Neural Gas for Unsupervised Vector Quantization
2012 · Thomas Villmann, Tina Geweniger, et al. · Lecture notes in computer science · 4
Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas.
2012 · Marika Kästner, W. Hermann, et al. · The European Symposium on Artificial Neural Networks · 4
Optimization of Parametrized Divergences in Fuzzy c-Means.
2011 · Tina Geweniger, Marika Kästner, et al. · 4
Border Sensitive Fuzzy Vector Quantization in Semi-Supervised Learning
2013 · Tina Geweniger, Marika Kästner, et al. · The European Symposium on Artificial Neural Networks · 3
Modified Conn-Index for the evaluation of fuzzy clusterings.
2012 · Tina Geweniger, Marika Kästner, et al. · The European Symposium on Artificial Neural Networks · 3
About Sparsity in Functional Relevance Learning in Generalized Learning Vector Quantization
2011 · Marika Kästner, Thomas Villmann, et al. · 3
Sparse Functional Relevance Learning in Generalized Learning Vector Quantization
2011 · Thomas Villmann, Marika Kästner · Lecture notes in computer science · 2
About analysis and robust classification of searchlight fMRI-data using machine learning classifiers
2013 · M. Lange, M. Kastner, et al. · International Joint Conference on Neural Networks (IJCNN) · 1
Border-Sensitive Learning in Kernelized Learning
2013 · Marika Kästner, Martin Riedel, et al.
Works count: 22
Citation count: 177
H-index: 7
I10-index: 6
Year
Topic
Type