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NIPS
1997
15 years 7 months ago
Learning Generative Models with the Up-Propagation Algorithm
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...
Jong-Hoon Oh, H. Sebastian Seung
ICANN
1997
Springer
15 years 10 months ago
Simulation of Spiking Neural Networks on Different Hardware Platforms
: 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...
Axel Jahnke, Tim Schönauer, Ulrich Roth, K. M...
ICASSP
2007
IEEE
16 years 22 days ago
Video Quality Metrics - An Analysis for Low Bit Rate Videos
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...
ICASSP
2011
IEEE
14 years 10 months ago
Signal recovery in shift-invariant spaces from partial frequency data
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...
Volker Pohl, Yonina C. Eldar