| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Mohamed Ali Souibgui; Alicia Fornes; Yousri Kessentini; Beata Megyesi |
Few shots are all you need: A progressive learning approach for low resource handwritten text recognition |
2022 |
Pattern Recognition Letters |
160 |
43-49 |
| David Sanchez-Mendoza; David Masip; Agata Lapedriza |
Emotion recognition from mid-level features |
2015 |
Pattern Recognition Letters |
67 |
66–74 |
| Mikkel Thogersen; Sergio Escalera; Jordi Gonzalez; Thomas B. Moeslund |
Segmentation of RGB-D Indoor scenes by Stacking Random Forests and Conditional Random Fields |
2016 |
Pattern Recognition Letters |
80 |
208–215 |
| Kai Wang; Joost Van de Weijer; Luis Herranz |
ACAE-REMIND for online continual learning with compressed feature replay |
2021 |
Pattern Recognition Letters |
150 |
122-129 |
| M. Bressan; Jordi Vitria |
Nonparametric Discriminant Analysis and Nearest Neighbor Classification |
2003 |
Pattern Recognition Letters |
24 |
2743–2749 |
| Cristina Cañero; Petia Radeva |
Vesselness enhancement diffusion |
2003 |
Pattern Recognition Letters |
24 |
3141–3151 |
| Sergio Escalera; Alicia Fornes; O. Pujol; Petia Radeva; Gemma Sanchez; Josep Llados |
Blurred Shape Model for Binary and Grey-level Symbol Recognition |
2009 |
Pattern Recognition Letters |
30 |
1424–1433 |
| Sergio Escalera; Oriol Pujol; Petia Radeva |
Separability of Ternary Codes for Sparse Designs of Error-Correcting Output Codes |
2009 |
Pattern Recognition Letters |
30 |
285–297 |
| Sergio Escalera; Oriol Pujol; Petia Radeva |
Re-coding ECOCs without retraining |
2010 |
Pattern Recognition Letters |
31 |
555–562 |
| David Guillamet; Jordi Vitria |
Evaluation of distance metrics for recognition based on non-negative matrix factorization |
2003 |
Pattern Recognition Letters |
24 |
1599 –1605 |
| David Guillamet; Jordi Vitria; B. Shiele |
Introducing a weighted non-negative matrix factorization for image classification |
2003 |
Pattern Recognition Letters |
24 |
2447–2454 |
| A. Martinez; Jordi Vitria |
Learning mixture models using a genetic version of the EM algorithm. |
2000 |
Pattern Recognition Letters |
21 |
759–769 |
| Xavier Otazu; Oriol Pujol |
Wavelet based approach to cluster analysis. Application on low dimensional data sets |
2006 |
Pattern Recognition Letters |
27 |
1590–1605 |
| Jordi Vitria; J. Llacer |
Reconstructing 3D light microscopic images using the EM algorithm |
1996 |
Pattern Recognition Letters |
17 |
1491–1498 |
| Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva |
ROC curves and video analysis optimization in intestinal capsule endoscopy |
2006 |
Pattern Recognition Letters |
27 |
875–881 |
