Welcome to GAIM, the Group for Artificial Intelligence and Sparse Modelling in the department TELIN of the Faculty of Engineering and Architecture at Ghent University
Sparse modelling in high-dimensional data analysis
Deep learning in sensor fusion and HSI analysis
Sketching and large scale clustering
Deep learning in digital painting analysis
Graphical models in sparse image recovery
The Group for Artificial Intelligence and Sparse Modelling (GAIM) is headed by Prof. Aleksandra Pizurica. GAIM is part of the Department of Telecommunications and Information Processing (TELIN), at the Faculty of Engineering and Architecture at Ghent University.
GAIM’s research is at the intersection of machine learning, signal processing and information theory. We pursue the development and integration of innovative algorithms for representation learning, deep learning and sparse coding, pattern recognition and classification, information recovery from partial, corrupted and high-dimensional data as well as inference algorithms for solving generic problems described by probabilistic graphical models and reasoning under uncertainty. The application areas of our research include machine vision, biomedical processing, remote sensing and art investigation.