| 研究実績の概要 |
Motivated by applications of subspace analysis, two new groups of methods were presented in this project: (1) Shallow networks for image classification; and (2) Subspaces for tensor representation and classification. New representations are proposed to preserve the spatial structure and maintain a fast processing time. A new method to keep the temporal structure was also given.
These solutions were evaluated over problems involving person detection, action, and gesture representation. We focused on the fusion of visual and acoustic data to support the safe life of the elderly living alone.
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