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Gippsland First semester 2007 (Off-campus)
Pattern recognition is considered in terms of feature extraction, top-down versus bottom-up principles of perception, and conscious versus unconscious processes. The design of artificial sensors is examined in the context of normal receptors (both human and animal) and sensory substitution systems (devices for the blind and deaf). Theoretical issues for discussion will include extrasensory perception and multisensory convergence.
On completion of this unit students should be able to:
demonstrate an understanding of receptor systems and pattern recognition processes in humans and other animals; demonstrate the basic principles of sensory substitution systems; evaluate the role of conscious and unconscious input in perceptual processes; provide fresh perspectives in the creation of artificial pattern recognition systems for humans and intelligent machines.
One laboratory report (1000 words): 25%
Laboratory exercises (CD based) 25%
One examination (two hours): 50%
3 hours (2 x 1 hour lectures and 1 x 1 hour laboratory) per week