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» Predicting non-stationary processes
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138
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CVPR
2006
IEEE
15 years 10 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
FPL
2008
Springer
163views Hardware» more  FPL 2008»
15 years 5 months ago
Towards an "early neural circuit simulator": A FPGA implementation of processing in the rat whisker system
We have constructed a FPGA-based "early neural circuit simulator" to model the first two stages of stimulus encoding and processing in the rat whisker system. Rats use t...
Brian Leung, Yan Pan, Chris Schroeder, Seda Ogrenc...
132
Voted
KES
2010
Springer
15 years 2 months ago
Evolving takagi sugeno modelling with memory for slow processes
Evolving Takagi Sugeno (eTS) models are optimised for use in applications with high sampling rates. This mode of use produces excellent prediction results very quickly and with lo...
Simon McDonald, Plamen P. Angelov
SAC
2010
ACM
15 years 5 months ago
Reactive parallel processing for synchronous dataflow
The control flow of common processors does not match the specific needs of reactive systems. Key issues for these systems are preemption and concurrency, combined with timing pred...
Claus Traulsen, Reinhard von Hanxleden
242
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Auto-regressive model based error concealment scheme for stereoscopic video coding
Stereoscopic video is an important manner for 3-D video applications, and robust stereoscopic video transmission has posed a technical challenge for stereoscopic video coding. In ...
Xinguang Xiang, Debin Zhao, Siwei Ma, Wen Gao