Synthesis of Visual Modules from Examples: Learning Hyperacuity
| dc.date.accessioned | 2004-10-04T14:25:32Z | |
| dc.date.accessioned | 2018-11-24T10:11:25Z | |
| dc.date.available | 2004-10-04T14:25:32Z | |
| dc.date.available | 2018-11-24T10:11:25Z | |
| dc.date.issued | 1991-01-01 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/5990 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/5990 | |
| dc.description.abstract | Networks that solve specific visual tasks, such as the evaluation of spatial relations with hyperacuity precision, can be eastily synthesized from a small set of examples. This may have significant implications for the interpretation of many psychophysical results in terms of neuronal models. | en_US |
| dc.format.extent | 18 p. | en_US |
| dc.format.extent | 2105394 bytes | |
| dc.format.extent | 833114 bytes | |
| dc.language.iso | en_US | |
| dc.subject | learning | en_US |
| dc.subject | hyperacuity | en_US |
| dc.title | Synthesis of Visual Modules from Examples: Learning Hyperacuity | en_US |
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