The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:
Brain-inspired Pattern Recognition
Speaker: Prof. Nicolai Petkov
Insights into the function of the brain can provide clues for designing effective computer algorithms for pattern recognition. This thesis is illustrated by the design of feature detectors that are inspired by the properties of shape-selective neurons in area V4 of visual cortex. Such a filter is trainable as it is configured by the automatic analysis of a feature specified by a user. Subsequently, it can detect features that are similar to the training feature. By means of training multiple such filters for different features of an object, we design effective feature vector representation of that object that is analogous to population coding in the brain. This approach shares two important aspects with pattern recognition by the brain: the ability to learn and deal with variability. It is illustrated by the detection of vascular bifurcations in medical images, traffic sign recognition in complex scenes, optical character recognition, word spotting, object recognition in a domestic environment and the automatic motif and repetition detection in music.
Nicolai Petkov is professor of computer science at the University of Groningen since 1991. In the period 1998-2009 he was scientific director of the Institute for Mathematics and Computer Science. He works in the field of brain-inspired visual pattern recognition. See www.cs.rug.nl/~petkov www.cs.rug.nl/is
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