| dc.creator | Hurlbert, Anya | |
| dc.creator | Poggio, Tomaso | |
| dc.date | 2004-08-31T18:12:09Z | |
| dc.date | 2004-08-31T18:12:09Z | |
| dc.date | 1986-09-01 | |
| dc.date.accessioned | 2013-10-09T02:39:54Z | |
| dc.date.available | 2013-10-09T02:39:54Z | |
| dc.date.issued | 2013-10-09 | |
| dc.identifier | AIM-915 | |
| dc.identifier | http://hdl.handle.net/1721.3/5514 | |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | |
| dc.description | Existing computer programs designed to perform visual recognition of objects suffer from a basic weakness: the inability to spotlight regions in the image that potentially correspond to objects of interest. The brain's mechanisms of visual attention, elucidated by psychophysicists and neurophysiologists, may suggest a solution to the computer's problem of object recognition. | |
| dc.format | 7 p. | |
| dc.format | 1325514 bytes | |
| dc.format | 522561 bytes | |
| dc.format | application/postscript | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.relation | AIM-915 | |
| dc.subject | visual recognition | |
| dc.subject | face recognition | |
| dc.subject | parallel-serialsroutines | |
| dc.subject | attention | |
| dc.title | Visual Attention in Brains and Computers |
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