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NPL
2000
135views more  NPL 2000»
13 years 7 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers
TVCG
2012
195views Hardware» more  TVCG 2012»
11 years 10 months ago
Restricted Trivariate Polycube Splines for Volumetric Data Modeling
—This paper presents a volumetric modeling framework to construct a novel spline scheme called restricted trivariate polycube splines (RTP-splines). The RTP-spline aims to genera...
Kexiang Wang, Xin Li, Bo Li 0014, Huanhuan Xu, Hon...
MP
2008
135views more  MP 2008»
13 years 7 months ago
A path to the Arrow-Debreu competitive market equilibrium
: We present polynomial-time interior-point algorithms for solving the Fisher and Arrow-Debreu competitive market equilibrium problems with linear utilities and n players. Both of ...
Yinyu Ye
TSP
2008
116views more  TSP 2008»
13 years 7 months ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...
IMR
2003
Springer
14 years 22 days ago
Combined Laplacian and Optimization-based Smoothing for Quadratic Mixed Surface Meshes
Quadratic elements place stringent requirements on a surface mesh smoother. One of the biggest challenges is that a good linear element may become invalid when mid-side nodes are ...
Zhijian Chen, Joseph R. Tristano, Wa Kwok