 | 2009 |
|---|
| 8 |       | Kai Labusch,
Erhardt Barth,
Thomas Martinetz:
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas.
WSOM 2009: 145-153 |
| 7 | | Kai Labusch,
Erhardt Barth,
Thomas Martinetz:
Sparse Coding Neural Gas: Learning of overcomplete data representations.
Neurocomputing 72(7-9): 1547-1555 (2009) |
| 2008 |
|---|
| 6 | | Kai Labusch,
Fabian Timm,
Thomas Martinetz:
Simple Incremental One-Class Support Vector Classification.
DAGM-Symposium 2008: 21-30 |
| 5 | | Kai Labusch,
Erhardt Barth,
Thomas Martinetz:
Learning Data Representations with Sparse Coding Neural Gas.
ESANN 2008: 233-238 |
| 4 | | Kai Labusch,
Erhardt Barth,
Thomas Martinetz:
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources.
ICANN (1) 2008: 788-797 |
| 3 | | Kai Labusch,
Erhardt Barth,
Thomas Martinetz:
Simple Method for High-Performance Digit Recognition Based on Sparse Coding.
IEEE Transactions on Neural Networks 19(11): 1985-1989 (2008) |
| 2006 |
|---|
| 2 | | Daniel Schneegaß,
Kai Labusch,
Thomas Martinetz:
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation.
ICANN (1) 2006: 150-158 |
| 2005 |
|---|
| 1 | | Thomas Martinetz,
Kai Labusch,
Daniel Schneegaß:
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.
ICANN (2) 2005: 301-306 |
