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PAMI
2006
122views more  PAMI 2006»
15 years 4 months ago
Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets
This study investigates a level set method for complex polarimetric image segmentation. It consists of minimizing a functional containing an original observation term derived from ...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
MICS
2007
90views more  MICS 2007»
15 years 3 months ago
Approximation by Conic Splines
Abstract. We show that the complexity of a parabolic or conic spline approximating a sufficiently smooth curve with non-vanishing curvature to within Hausdorff distance ε is c1ε...
Sunayana Ghosh, Sylvain Petitjean, Gert Vegter
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
EWRL
2008
15 years 5 months ago
New Error Bounds for Approximations from Projected Linear Equations
We consider linear fixed point equations and their approximations by projection on a low dimensional subspace. We derive new bounds on the approximation error of the solution, whi...
Huizhen Yu, Dimitri P. Bertsekas
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 5 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee