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FLAIRS
2004
13 years 8 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
CVPR
2010
IEEE
14 years 3 months ago
Estimating Optical Properties of Layered Surfaces Using the Spider Model
Many object surfaces are composed of layers of different physical substances, known as layered surfaces. These surfaces, such as patinas, water colors, and wall paintings, have mo...
Tetsuro Morimoto, Robby Tan, Rei Kawakami, Katsush...
MP
2002
165views more  MP 2002»
13 years 7 months ago
A feasible semismooth asymptotically Newton method for mixed complementarity problems
Semismooth Newton methods constitute a major research area for solving mixed complementarity problems (MCPs). Early research on semismooth Newton methods is mainly on infeasible me...
Defeng Sun, Robert S. Womersley, Houduo Qi
CCGRID
2010
IEEE
13 years 8 months ago
Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs
Finite difference methods continue to provide an important and parallelisable approach to many numerical simulations problems. Iterative multigrid and multilevel algorithms can co...
Daniel P. Playne, Kenneth A. Hawick
IWMM
2010
Springer
118views Hardware» more  IWMM 2010»
14 years 3 days ago
Speculative parallelization using state separation and multiple value prediction
With the availability of chip multiprocessor (CMP) and simultaneous multithreading (SMT) machines, extracting thread level parallelism from a sequential program has become crucial...
Chen Tian, Min Feng, Rajiv Gupta