Marika Kästner

20 papers B 9Journal 2Unranked 9
YearRankTypeTitle / Venue / Authors
2013 B conf
A sparse kernelized matrix learning vector quantization model for human activity recognition.
ESANN
Marika Kästner, Marc Strickert, Thomas Villmann
2013 B conf
About analysis and robust classification of searchlight fMRI-data using machine learning classifiers.
IJCNN
Mandy Lange, Marika Kästner, Thomas Villmann
2013 B conf
Border sensitive fuzzy vector quantization in semi-supervised learning.
ESANN
Tina Geweniger, Marika Kästner, Thomas Villmann
2013 — conf
Border-Sensitive Learning in Kernelized Learning Vector Quantization.
IWANN (1)
Marika Kästner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann
2013 B conf
Processing Hyperspectral Data in Machine Learning.
ESANN
Thomas Villmann, Marika Kästner, Andreas Backhaus, Udo Seiffert
2013 J jnl
Regularization in Relevance Learning Vector Quantization Using l one Norms.
CoRR
Martin Riedel, Marika Kästner, Fabrice Rossi, Thomas Villmann
2013 B conf
Regularization in relevance learning vector quantization using l1-norms.
ESANN
Martin Riedel, Fabrice Rossi, Marika Kästner, Thomas Villmann
2012 — conf
Differentiable Kernels in Generalized Matrix Learning Vector Quantization.
ICMLA (1)
Marika Kästner, David Nebel, Martin Riedel, Michael Biehl, Thomas Villmann
2012 J jnl
Functional relevance learning in generalized learning vector quantization.
Neurocomputing
Marika Kästner, Barbara Hammer, Michael Biehl, Thomas Villmann
2012 — conf
Fuzzy Neural Gas for Unsupervised Vector Quantization.
ICAISC (1)
Thomas Villmann, Tina Geweniger, Marika Kästner, Mandy Lange
2012 — conf
Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization.
ICAISC (1)
Marika Kästner, Thomas Villmann
2012 — conf
Gradient Based Learning in Vector Quantization Using Differentiable Kernels.
WSOM
Thomas Villmann, Sven Haase, Marika Kästner
2012 — conf
ICMLA Face Recognition Challenge - Results of the Team Computational Intelligence Mittweida.
ICMLA (2)
Thomas Villmann, Marika Kästner, David Nebel, Martin Riedel
2012 B conf
Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas.
ESANN
Marika Kästner, Wieland Hermann, Thomas Villmann
2012 B conf
Modified Conn-Index for the evaluation of fuzzy clusterings.
ESANN
Tina Geweniger, Marika Kästner, Mandy Lange, Thomas Villmann
2012 — conf
Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects.
WSOM
Michael Biehl, Marika Kästner, Mandy Lange, Thomas Villmann
2011 B conf
Generalized functional relevance learning vector quantization.
ESANN
Marika Kästner, Barbara Hammer, Michael Biehl, Thomas Villmann
2011 B conf
Optimization of Parametrized Divergences in Fuzzy c-Means.
ESANN
Tina Geweniger, Marika Kästner, Thomas Villmann
2011 — conf
Relevance Learning in Unsupervised Vector Quantization Based on Divergences.
WSOM
Marika Kästner, Andreas Backhaus, Tina Geweniger, Sven Haase, Udo Seiffert, Thomas Villmann
2011 — conf
Sparse Functional Relevance Learning in Generalized Learning Vector Quantization.
WSOM
Thomas Villmann, Marika Kästner