Advanced Topics in Computational Intelligence and Computer Vision
The content of the course concerns the following fields:
- Όραση Υπολογιστή, επεξεργασία και ανάλυση εικόνων: Εφαρμογές, ανοικτά ζητήματα
- 3D graphics, 3D visualization, photogrammetry
- Techniques for processing digital images, image sequences (video) and 3D graphics for field reconstruction, event recognition, object detection and monitoring, 3D object evaluation and image reconstruction.
- Machine learning (supervised, unsupervised, semi-supervised, and contemplative learning).
- Δομές νευρωνικών και νευρο-ασαφών δικτύων (Feedforward networks, ANFIS network, Boltzmann machines, Bayesian networks, Support vector machines). Μέθοδοι εκπαίδευσης νευρωνικών και νευροασαφών δικτύων (gradient descent, back-propagation, reinforcement learning, stochastic learning, κλπ.).
- Deep neural networks (Convolutional neural networks, restricted Boltzmann machines, deep feedforward networks, deep neuro-fuzzy networks) and deep learning.
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