112 citations · 310 across the 26 of their papers we have counts for
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cs.CV2016★ 1 cited
Feedback Networks
Amir R. Zamir, Te-Lin Wu, Lin Sun +3
Currently, the most successful learning models in computer vision are based on learning successive representations followed by a decision layer. This is usually actualized through…
cs.CY2016
Developing and Assessing MATLAB Exercises for Active Concept Learning
S. H. Song, Marco Antonelli, Tony Fung +4
New technologies, such as MOOCs, provide innovative methods to tackle new challenges in teaching and learning, such as globalization and changing contemporary culture and to remove…
cs.CV2016
Invariant feature extraction from event based stimuli
Thusitha N. Chandrapala, Bertram E. Shi
We propose a novel architecture, the event-based GASSOM for learning and extracting invariant representations from event streams originating from neuromorphic vision sensors. The f…