Jens Lippel - researchr alias

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Viewing Publication 1 - 9 from 9

2025

A Computer Vision Approach to Fertilizer Detection and ClassificationJens Lippel, Richard Bihlmeier, André Stuhlsatz. visigrapp 2025: 563-569 [doi]

2020

Dimensionality Reduction for Data Visualization and Linear Classification, and the Trade-off between Robustness and Classification AccuracyMartin Becker 0007, Jens Lippel, Thomas Zielke. icpr 2021: 6478-6485 [doi]

Robust dimensionality reduction for data visualization with deep neural networksMartin Becker 0007, Jens Lippel, André Stuhlsatz, Thomas Zielke. cvgip, 108:101060, 2020. [doi]

2019

Gradient Descent Analysis: On Visualizing the Training of Deep Neural NetworksMartin Becker 0007, Jens Lippel, Thomas Zielke. grapp 2019: 338-345 [doi]

Modeling Dynamic Processes with Deep Neural Networks: A Case Study with a Gas-fired Absorption Heat PumpJens Lippel, Martin Becker 0007, Thomas Zielke. simultech 2019: 317-326 [doi]

2017

Regularized Nonlinear Discriminant Analysis - An Approach to Robust Dimensionality Reduction for Data VisualizationMartin Becker, Jens Lippel, André Stuhlsatz. grapp 2017: 116-127 [doi]

2012

Feature Extraction With Deep Neural Networks by a Generalized Discriminant AnalysisAndré Stuhlsatz, Jens Lippel, Thomas Zielke. tnn, 23(4):596-608, 2012. [doi]

2010

Feature Extraction for Simple ClassificationAndré Stuhlsatz, Jens Lippel, Thomas Zielke. icpr 2010: 1525-1528 [doi]

Discriminative feature extraction with Deep Neural NetworksAndré Stuhlsatz, Jens Lippel, Thomas Zielke. ijcnn 2010: 1-8 [doi]

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