Items where Author is "Schachtner, R."
 | Up a level |
Article
Tome, A. M. and Schachtner, R. and Vigneron, V. and Puntonet, C. G. and Lang, E. W. (2015) A logistic non-negative matrix factorization approach to binary data sets. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 26 (1). pp. 125-143. ISSN 0923-6082, 1573-0824
Schachtner, R. and Poeppel, G. and Tome, A. M. and Lang, W. (2014) A Bayesian approach to the Lee-Seung update rules for NMF. PATTERN RECOGNITION LETTERS, 45. pp. 251-256. ISSN 0167-8655, 1872-7344
Schachtner, R. and Poeppel, G. and Tome, A. M. and Puntonet, C. G. and Lang, E. W. (2014) A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection. NEUROCOMPUTING, 138. pp. 142-156. ISSN 0925-2312, 1872-8286
Schachtner, R. and Poeppel, G. and Lang, E. W. (2011) Towards unique solutions of non-negative matrix factorization problems by a determinant criterion. DIGITAL SIGNAL PROCESSING, 21 (4). pp. 528-534. ISSN 1051-2004, 1095-4333
Schachtner, R. and Lutter, D. and Knollmueller, P. and Tome, A. M. and Theis, F. J. and Schmitz, G. and Stetter, M. and Vilda, P. Gomez and Lang, E. W. (2008) Knowledge-based gene expression classification via matrix factorization. BIOINFORMATICS, 24 (15). pp. 1688-1697. ISSN 1367-4803
