| Grant number: | 16/11298-9 |
| Support Opportunities: | Scholarships abroad - Research Internship - Scientific Initiation |
| Effective date (Start): | August 01, 2016 |
| Effective date (End): | August 31, 2016 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal Investigator: | Aparecido Nilceu Marana |
| Grantee: | Bárbara Caroline Benato |
| Supervisor: | Xin-She Yang |
| Host Institution: | Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil |
| Research place: | Middlesex University, England |
| Associated to the scholarship: | 14/12593-9 - Convolution neural networks optimization and its application for facial expression recognition, BP.IC |
Abstract The problem of fine-tuning parameters in deep learning techniques has been considerably focused in the last years, since to hand-tune them is painful and prone to errors. In this proposal, we model the problem of adjusting parameters as an optimization task, since meta- heuristic techniques have obtained very interesting results in a number of problems. There is one inspired on the behavior of microbats that use echolocation to find their prey: the Bat Algorithm (BA) and we decided to evaluate its performance in the context of deep learning-based techniques and for face-based emotion recognition. Additionally, this proposal aims to bring together two research groups from leading universities and to allow an international experience for the student. (AU) | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
| TITULO | |
| Articles published in other media outlets (0 total): | |
| More itemsLess items | |
| VEICULO: TITULO (DATA) | |
| VEICULO: TITULO (DATA) | |