- Supervised, semisupervised and unsupervised classification
- Statistical methods for data analysis
- Machine learning (neural networks, support vector machine, etc.)
- Kernel-based methods and support vector machines
- Domain adaptation and active learning algorithms
- Multidimensional signal processing
- 2D and 3D image processing
- Data fusion
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.