André Stuhlsatz

According to our database1, André Stuhlsatz authored at least 12 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2020
Robust dimensionality reduction for data visualization with deep neural networks.
Graph. Model., 2020

2017
Regularized Nonlinear Discriminant Analysis - An Approach to Robust Dimensionality Reduction for Data Visualization.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Porto, Portugal, February 27, 2017

2015
Cross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract).
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2012
Feature Extraction With Deep Neural Networks by a Generalized Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2012

2011
Deep neural networks for acoustic emotion recognition: Raising the benchmarks.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Machine learning with Lipschitz classifiers.
PhD thesis, 2010

Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies.
IEEE Trans. Affect. Comput., 2010

Discriminative feature extraction with Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

Feature Extraction for Simple Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2008
Maximum Margin Classification on Convex Euclidean Metric Spaces.
Proceedings of the Computer Recognition Systems 2, 2008

Making the Lipschitz Classifier Practical via Semi-infinite Programming.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Recognition of ultrasonic multi-echo sequences for autonomous symbolic indoor tracking.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007


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