Understanding how intelligence works is largely recognized as one of the most
formidable endeavors of science to date with virtually unlimited technological
fallout. Our research in this field focuses on the computational aspects underlying
two particular but important areas:
- the study and development of the theoretical foundations
of learning and learning methods from the mathematical and statistical viewpoint
- the design and development of mathematically sound methods for extracting
visual information from images
By exploiting the ubiquitous nature of the learning paradigm and the richness
of images as signals, we not only investigate the two areas independently of
one another but also work at the construction of trainable computer vision systems.
More information on our research topics here
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