Understanding the neural control and mechanics of human eye movement has significant implications for treating vision disorders. A computational model incorporating physiological ...
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum lev...
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
The MPEG-7 standard is emerging as both a general framework for content description and a collection of specific, agreed-upon content descriptors. We have developed a neural, self...