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» On the convergence of Hill's method
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PC
2002
118views Management» more  PC 2002»
15 years 1 months ago
Parallel algorithms for indefinite linear systems
Saddle-point problems give rise to indefinite linear systems that are challenging to solve via iterative methods. This paper surveys two recent techniques for solving such problem...
Ahmed H. Sameh, Vivek Sarin
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 11 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
CVPR
2011
IEEE
14 years 5 months ago
A Global Optimization Approach to Robust Multi-Model Fitting
We present a novel Quadratic Program (QP) formulation for robust multi-model fitting of geometric structures in vision data. Our objective function enforces both the fidelity of...
Jin Yu, Tat-Jun Chin, David Suter
GECCO
2011
Springer
261views Optimization» more  GECCO 2011»
14 years 4 months ago
Spacing memetic algorithms
We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space dista...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
SIAMIS
2011
14 years 4 months ago
Level Set Based Multispectral Segmentation with Corners
In this paper we propose an active contour model for segmentation based on the Chan-Vese model. The new model can capture inherent sharp features, i.e., the sharp corners of object...
Wenhua Gao, Andrea L. Bertozzi