All Outputs (2)

Processing occlusions using elastic-net hierarchical MAX model of the visual cortex (2017)
Presentation / Conference
Alameer, A., Degenaar, P., & Nazarpour, K. (2017, July). Processing occlusions using elastic-net hierarchical MAX model of the visual cortex. Presented at 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Gdynia, Poland

Humans can recognise objects under partial occlusion. Machine-based approaches cannot reliably recognise objects and scenes in the presence of occlusion. This paper investigates the use of the elastic net hierarchical MAX (En-HMAX) model to handle oc... Read More about Processing occlusions using elastic-net hierarchical MAX model of the visual cortex.

Deep learning-based artificial vision for grasp classification in myoelectric hands (2017)
Journal Article
Ghazaei, G., Alameer, A., Degenaar, P., Morgan, G., & Nazarpour, K. (2017). Deep learning-based artificial vision for grasp classification in myoelectric hands. Journal of Neural Engineering, 14(3), 036025. https://doi.org/10.1088/1741-2552/aa6802

Objective. Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision sy... Read More about Deep learning-based artificial vision for grasp classification in myoelectric hands.