Marika Kästner

Publication Activity (10 Years)

Years Active: 2011-2013
Publications (10 Years): 0

Top Topics

Vector Quantization

Human Activity Recognition

Top Venues

Publications

Marika Kästner, Marc Strickert, Thomas Villmann
A sparse kernelized matrix learning vector quantization model for human activity recognition. ESANN (2013)
Martin Riedel, Marika Kästner, Fabrice Rossi, Thomas Villmann
Regularization in Relevance Learning Vector Quantization Using l one Norms. CoRR (2013)
Martin Riedel, Fabrice Rossi, Marika Kästner, Thomas Villmann
Regularization in relevance learning vector quantization using l1-norms. ESANN (2013)
Tina Geweniger, Marika Kästner, Thomas Villmann
Border sensitive fuzzy vector quantization in semi-supervised learning. ESANN (2013)
Mandy Lange, Marika Kästner, Thomas Villmann
About analysis and robust classification of searchlight fMRI-data using machine learning classifiers. IJCNN (2013)
Thomas Villmann, Marika Kästner, Andreas Backhaus, Udo Seiffert
Processing Hyperspectral Data in Machine Learning. ESANN (2013)
Marika Kästner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann
Border-Sensitive Learning in Kernelized Learning Vector Quantization. IWANN (1) (2013)
Marika Kästner, Barbara Hammer, Michael Biehl, Thomas Villmann
Functional relevance learning in generalized learning vector quantization. Neurocomputing 90 (2012)
Michael Biehl, Marika Kästner, Mandy Lange, Thomas Villmann
Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects. WSOM (2012)
Marika Kästner, Wieland Hermann, Thomas Villmann
Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas. ESANN (2012)
Thomas Villmann, Marika Kästner, David Nebel, Martin Riedel
ICMLA Face Recognition Challenge - Results of the Team Computational Intelligence Mittweida. ICMLA (2) (2012)
Tina Geweniger, Marika Kästner, Mandy Lange, Thomas Villmann
Modified Conn-Index for the evaluation of fuzzy clusterings. ESANN (2012)
Marika Kästner, Thomas Villmann
Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization. ICAISC (1) (2012)
Marika Kästner, David Nebel, Martin Riedel, Michael Biehl, Thomas Villmann
Differentiable Kernels in Generalized Matrix Learning Vector Quantization. ICMLA (1) (2012)
Thomas Villmann, Sven Haase, Marika Kästner
Gradient Based Learning in Vector Quantization Using Differentiable Kernels. WSOM (2012)
Thomas Villmann, Tina Geweniger, Marika Kästner, Mandy Lange
Fuzzy Neural Gas for Unsupervised Vector Quantization. ICAISC (1) (2012)
Tina Geweniger, Marika Kästner, Thomas Villmann
Optimization of Parametrized Divergences in Fuzzy c-Means. ESANN (2011)
Marika Kästner, Andreas Backhaus, Tina Geweniger, Sven Haase, Udo Seiffert, Thomas Villmann
Relevance Learning in Unsupervised Vector Quantization Based on Divergences. WSOM (2011)
Marika Kästner, Barbara Hammer, Michael Biehl, Thomas Villmann
Generalized functional relevance learning vector quantization. ESANN (2011)
Thomas Villmann, Marika Kästner
Sparse Functional Relevance Learning in Generalized Learning Vector Quantization. WSOM (2011)