| |
| 2008 | ||
|---|---|---|
| 7 | EE | Tamás Varga, Horst Bunke: Perturbation Models for Generating Synthetic Training Data in Handwriting Recognition. Machine Learning in Document Analysis and Recognition 2008: 333-360 |
| 2007 | ||
| 6 | EE | F. Lüthy, Tamás Varga, Horst Bunke: Using Hidden Markov Models as a Tool for Handwritten Text Line Segmentation. ICDAR 2007: 8- |
| 2005 | ||
| 5 | EE | Tamás Varga, Horst Bunke: Tree Structure forWord Extraction from Handwritten Text Lines. ICDAR 2005: 352-356 |
| 2004 | ||
| 4 | EE | Tamás Varga, Horst Bunke: Optimizing the Integration of a Statistical Language Model in HMM based O.ine Handwritten Text Recognition. ICPR (2) 2004: 541-544 |
| 3 | EE | Tamás Varga, Horst Bunke: Off-line Handwritten Textline Recognition Using a Mixture of Natural and Synthetic Training Data. ICPR (2) 2004: 545-549 |
| 2 | EE | Tamás Varga, Horst Bunke: Offline Handwriting Recognition Using Synthetic Training Data Produced By Means Of A Geometrical Distortion Model. IJPRAI 18(7): 1285-1302 (2004) |
| 2003 | ||
| 1 | EE | Tamás Varga, Horst Bunke: Generation of Synthetic Training Data for an HMM-based Handwriting Recognition System. ICDAR 2003: 618-622 |
| 1 | Horst Bunke | [1] [2] [3] [4] [5] [6] [7] |
| 2 | F. Lüthy | [6] |