Reinhard Schachtner

According to our database1, Reinhard Schachtner authored at least 14 papers between 2007 and 2016.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
A Nonnegative Tensor Factorization Approach for Three-Dimensional Binary Wafer-Test Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
A logistic non-negative matrix factorization approach to binary data sets.
Multidimens. Syst. Signal Process., 2015

2014
A Bayesian approach to the Lee-Seung update rules for NMF.
Pattern Recognit. Lett., 2014

A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection.
Neurocomputing, 2014

2011
Towards unique solutions of non-negative matrix factorization problems by a determinant criterion.
Digit. Signal Process., 2011

2010
A Nonnegative Blind Source Separation Model for Binary Test Data.
IEEE Trans. Circuits Syst. I Regul. Pap., 2010

Bayesian extensions of non-negative matrix factorization.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Minimum Determinant Constraint for Non-negative Matrix Factorization.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Binary Nonnegative Matrix Factorization Applied to Semi-conductor Wafer Test Sets.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008
Knowledge-based gene expression classification via matrix factorization.
Bioinform., 2008

A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Nonnegative Matrix Factorization for Binary Data to Extract Elementary Failure Maps from Wafer Test Images.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007
Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes.
Proceedings of the Artificial Neural Networks, 2007

Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays.
Proceedings of the Independent Component Analysis and Signal Separation, 2007


  Loading...