| 2009 |
|---|
| 6 | EE | Kai Labusch,
Erhardt Barth,
Thomas Martinetz:
Sparse Coding Neural Gas: Learning of overcomplete data representations.
Neurocomputing 72(7-9): 1547-1555 (2009) |
| 2008 |
|---|
| 5 | EE | Kai Labusch,
Fabian Timm,
Thomas Martinetz:
Simple Incremental One-Class Support Vector Classification.
DAGM-Symposium 2008: 21-30 |
| 4 | EE | Kai Labusch,
Erhardt Barth,
Thomas Martinetz:
Learning Data Representations with Sparse Coding Neural Gas.
ESANN 2008: 233-238 |
| 3 | EE | Kai Labusch,
Erhardt Barth,
Thomas Martinetz:
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources.
ICANN (1) 2008: 788-797 |
| 2006 |
|---|
| 2 | EE | Daniel Schneegaß,
Kai Labusch,
Thomas Martinetz:
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation.
ICANN (1) 2006: 150-158 |
| 2005 |
|---|
| 1 | EE | Thomas Martinetz,
Kai Labusch,
Daniel Schneegaß:
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.
ICANN (2) 2005: 301-306 |
