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ISMB
2001
15 years 7 months ago
Designing fast converging phylogenetic methods
Abstract: Absolute fast converging phylogenetic reconstruction methods are provably guaranteed to recover the true tree with high probability from sequences that grow only polynomi...
Luay Nakhleh, Usman Roshan, Katherine St. John, Je...
ICML
2009
IEEE
16 years 1 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
ICCD
2006
IEEE
92views Hardware» more  ICCD 2006»
16 years 3 months ago
Fast Speculative Address Generation and Way Caching for Reducing L1 Data Cache Energy
— L1 data caches in high-performance processors continue to grow in set associativity. Higher associativity can significantly increase the cache energy consumption. Cache access...
Dan Nicolaescu, Babak Salamat, Alexander V. Veiden...
ICCAD
2001
IEEE
107views Hardware» more  ICCAD 2001»
16 years 3 months ago
Fast 3-D Inductance Extraction in Lossy Multi-Layer Substrate
A mixed potential integral equation (MPIE) technique combined with fast multi-layer Green’s functions and Gaussian Jacobi high order techniques is used to compute the 3-D freque...
Minqing Liu, Tiejun Yu, Wayne Wei-Ming Dai
IVC
2007
142views more  IVC 2007»
15 years 6 months ago
Fast stochastic optimization for articulated structure tracking
Recently, an optimization approach for fast visual tracking of articulated structures based on Stochastic Meta-Descent (SMD) [7] has been presented. SMD is a gradient descent with...
Matthieu Bray, Esther Koller-Meier, Nicol N. Schra...