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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Filho, H.P. Souza, A.F.D. |
| Copyright Year | 2012 |
| Description | Author affiliation: Laboratório de Computação de Alto Desempenho, Universidade Federal do Espírito Santo, Vitória, Brazil (Filho, H.P.; Souza, A.F.D.) |
| Abstract | The multichannel model is a complete reassessment of how neurons work at the biochemical level. Its results can be extended into an overarching theory of how vision, memory and cognition come to be in the living brain. This article documents a first attempt at testing the model's validity, by applying its principles to the construction of an image template-matching framework, which is then used to solve a Graphical User Interface (GUI) automation problem. It is found that the template-matching application thus implemented can consistently locate required visual controls, even when template and match differ by color palette or (to a slighter degree) feature proportion. The article concludes by discussing the significance of these results and directions for further research. |
| Starting Page | 326 |
| Ending Page | 331 |
| File Size | 522953 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467351171 |
| ISSN | 21647143 |
| e-ISBN | 9781467351195 |
| DOI | 10.1109/ISDA.2012.6416559 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-27 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Automation Biological system modeling Computational modeling Neurons cognitive models computer vision Brain modeling machine learning |
| Content Type | Text |
| Resource Type | Article |
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