Friedrich Melchert

According to our database, Friedrich Melchert authored at least 7 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases.

Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl

IEEE Access, 2021

2020

Learning vector quantization and relevances in complex coefficient space.

Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert

Neural Comput. Appl., 2020

Adaptive basis functions for prototype-based classification of functional data.

Friedrich Melchert, Gabriele Bani, Udo Seiffert, Michael Biehl

Neural Comput. Appl., 2020

A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field.

Godliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl

Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020

2017

Prototypes and matrix relevance learning in complex fourier space.

Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities.

Marika Kaden, David Nebel, Friedrich Melchert, Andreas Backhaus, Udo Seiffert, Thomas Villmann

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

2016

Functional Representation of Prototypes in LVQ and Relevance Learning.

Friedrich Melchert, Udo Seiffert, Michael Biehl

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016