Using perceptual grouping to recognize and locate partially occluded objects
Thomas C. Rearick, J.L. Frawley, P.P. Cortopassi · 2003
The authors describe a connectionist network which is not a neural net in which knowledge is distributed globally via the connections of functionally simple nodes. The technique combines constraint propagation with analogical or eidetic representations. It represents an alternative to the atomistic signals-to-symbols paradigm in which a one-to-one correspondence is assumed to exist between symbols and the concepts they represent.>