| 2008 |
|---|
| 10 | EE | Blanca Rodríguez,
Óscar Pérez,
Jesús García,
José M. Molina:
Machine Learning Techniques for Acquiring New Knowledge in Image Tracking.
Applied Artificial Intelligence 22(3): 266-282 (2008) |
| 2007 |
|---|
| 9 | EE | Massimo Piccardi,
Óscar Pérez:
Hidden Markov Models with Kernel Density Estimation of Emission Probabilities and their Use in Activity Recognition.
CVPR 2007 |
| 8 | EE | Óscar Pérez,
Massimo Piccardi,
Jesús García,
Miguel Ángel Patricio Guisado,
José Manuel Molina:
Comparison Between Genetic Algorithms and the Baum-Welch Algorithm in Learning HMMs for Human Activity Classification.
EvoWorkshops 2007: 399-406 |
| 7 | EE | Óscar Pérez,
Manuel A. Sánchez-Montañés:
A New Learning Strategy for Classification Problems with Different Training and Test Distributions.
IWANN 2007: 178-185 |
| 6 | EE | Óscar Pérez,
Massimo Piccardi,
Jesús García,
José M. Molina:
Comparison of Classifiers for Human Activity Recognition.
IWINAC (2) 2007: 192-201 |
| 2006 |
|---|
| 5 | EE | Óscar Pérez,
Jesús García,
José M. Molina:
Neuro-fuzzy Learning Applied to Improve the Trajectory Reconstruction Problem.
CIMCA/IAWTIC 2006: 4 |
| 4 | EE | Óscar Pérez,
Miguel Ángel Patricio Guisado,
Jesús García,
José M. Molina:
Improving the Segmentation Stage of a Pedestrian Tracking Video-Based System by Means of Evolution Strategies.
EvoWorkshops 2006: 438-449 |
| 2005 |
|---|
| 3 | EE | Óscar Pérez,
Jesús García,
Antonio Berlanga,
José M. Molina:
Evolving Parameters of Surveillance Video Systems for Non-overfitted Learning.
EvoWorkshops 2005: 386-395 |
| 2 | EE | Óscar Pérez,
Jesús García,
Antonio Berlanga,
José M. Molina:
Adjustment of Surveillance Video Systems by a Performance Evaluation Function.
IWINAC (2) 2005: 499-508 |
| 1 | EE | Blanca Rodríguez,
Óscar Pérez,
Jesús García,
José M. Molina:
Application of Machine Learning Techniques for Simplifying the Association Problem in a Video Surveillance System.
IWINAC (2) 2005: 509-518 |
