602 search results - page 26 / 121 » gradient vector flow |
CEC
2008
IEEE
14 years 4 months ago
2008
IEEE
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
ACL
2009
13 years 7 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
WSCG
2001
13 years 11 months ago
2001
We describe a distributed system for texture mapping implicit surfaces. The method uses a particle system associated with the gradient vector field of the function that defines an...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
IPPS
2006
IEEE
14 years 3 months ago
2006
IEEE
A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on normalized approximate f...