Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
: Substantial evidence indicates that the time structure of neuronal spike trains is relevant in neuronal signal processing. Bio-inspired spiking neural networks are taking these r...
Objective video quality metrics reported in the literature have so far been focused on TV signals with large frame sizes, full TV frame rates, and high compressed bit rates. The a...
Ee Ping Ong, Mei Hwan Loke, Weisi Lin, Zhongkang L...
This paper studies conditions under which a signal can be reconstructed from partial frequency content. We focus on signals in shiftinvariant spaces generated by multiple generato...