Computer vision, image analysis, neural networks.
Neural networks applied to visual perception and computational modeling of mental disorders.
Computational motor control, biologically realistic circuits, humanoid robots, spiking neurons.
Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging.
Partially observable markov decision processes (POMDP), reinforcement learning, multi-agent systems.
Artificial intelligence, machine learning, data mining.
Machine learning approaches to data mining focussing on text mining applications.
Overview of neural networks, and explanation of Java classes that implement backpropagation, and Kohonen feature maps.
Data structures for computational intelligence.
Computer vision, probabilistic models for image sequences, invariant features.