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Updated: Apr 16, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
Published on: February 9, 2017
Xavier Lagorce1, Sio-Hoi Ieng1, Xavier Clady1
1Equipe de Vision et Calcul Naturel, UMR S968 Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique UMR 7210, Centre Hospitalier National d' Ophtalmologie des Quinze-Vingts, Université Pierre et Marie Curie Paris, France.
This study introduces a new method for learning spatiotemporal features from event-based vision sensors. The approach uses predictive recurrent networks to enable precise visual recognition in dynamic environments.
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