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» A Training Method with Small Computation for Classification
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COMPUTING
2006
126views more  COMPUTING 2006»
13 years 9 months ago
Algebraic Multigrid Based on Computational Molecules, 1: Scalar Elliptic Problems
We consider the problem of splitting a symmetric positive definite (SPD) stiffness matrix A arising from finite element discretization into the sum of edge matrices thereby assumi...
J. K. Kraus, Josef Schicho
CEC
2003
IEEE
14 years 2 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
CVPR
2006
IEEE
14 years 11 months ago
Image Denoising Via Learned Dictionaries and Sparse representation
We address the image denoising problem, where zeromean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse an...
Michael Elad, Michal Aharon
TVCG
2012
203views Hardware» more  TVCG 2012»
11 years 11 months ago
Morse Set Classification and Hierarchical Refinement Using Conley Index
—Morse decomposition provides a numerically stable topological representation of vector fields that is crucial for their rigorous interpretation. However, Morse decomposition is ...
Guoning Chen, Qingqing Deng, Andrzej Szymczak, Rob...
IJPRAI
2002
93views more  IJPRAI 2002»
13 years 8 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov