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CVPR
2004
IEEE
14 years 9 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
ICCS
2007
Springer
14 years 1 months ago
Optimizing Surface Triangulation Via Near Isometry with Reference Meshes
Optimization of the mesh quality of surface triangulation is critical for advanced numerical simulations and is challenging under the constraints of error minimization and density ...
Xiangmin Jiao, Narasimha R. Bayyana, Hongyuan Zha
SIAMSC
2010
160views more  SIAMSC 2010»
13 years 6 months ago
Shift-Invert Arnoldi Approximation to the Toeplitz Matrix Exponential
The shift-invert Arnoldi method is employed to generate an orthonormal basis from the Krylov subspace corresponding to a real Toeplitz matrix and an initial vector. The vectors and...
Spike T. Lee, Hong-Kui Pang, Hai-Wei Sun
CASC
2006
Springer
410views Mathematics» more  CASC 2006»
13 years 11 months ago
A Symbolic-Numeric Approach to Tube Modeling in CAD Systems
In this note we present a symbolic-numeric method to the problem of tube modeling in CAD systems. Our approach is based on the Kirchhoff kinetic analogy which allows us to find ana...
Gerrit Sobottka, Andreas Weber 0004
CORR
2007
Springer
76views Education» more  CORR 2007»
13 years 7 months ago
Some problems in asymptotic convex geometry and random matrices motivated by numerical algorithms
Abstract. The simplex method in Linear Programming motivates several problems of asymptotic convex geometry. We discuss some conjectures and known results in two related directions...
Roman Vershynin