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» A Fast Skeletonization Method
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119
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ICML
2009
IEEE
15 years 7 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
109
Voted
ICC
2009
IEEE
200views Communications» more  ICC 2009»
15 years 7 months ago
Fast Distributed Multi-Cell Scheduling with Delayed Limited-Capacity Backhaul Links
— Both fast scheduling and spatial signal processing have proven to be capacity-increasing methods in wireless communication systems. However, when applied in the downlink of a c...
Ralf Bendlin, Yih-Fang Huang, Michel T. Ivrlac, Jo...
115
Voted
ICMCS
2008
IEEE
175views Multimedia» more  ICMCS 2008»
15 years 7 months ago
Fast mode decision for adaptive prediction error coding
In [1], Adaptive Prediction Error Coding (APEC) in spatial and frequency domain is proposed and significantly improves the coding efficiency of video coders. However, this approac...
Cixun Zhang, Kemal Ugur, Moncef Gabbouj
101
Voted
GLVLSI
2003
IEEE
186views VLSI» more  GLVLSI 2003»
15 years 6 months ago
A fast simulation approach for inductive effects of VLSI interconnects
Modeling on-chip inductive effects for interconnects of multigigahertz microprocessors remains challenging. SPICE simulation of these effects is very slow because of the large num...
Xiaoning Qi, Goetz Leonhardt, Daniel Flees, Xiao-D...
CLEF
2008
Springer
15 years 2 months ago
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...