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» Convergence Properties of the K-Means Algorithms
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FLAIRS
2000
15 years 2 months ago
Latin Hypercube Sampling in Bayesian Networks
Wepropose a schemefor producingLatin hypercube samples that can enhanceany of the existing sampling algorithms in Bayesiannetworks. Wetest this scheme in combinationwith the likel...
Jian Cheng, Marek J. Druzdzel
JAT
2010
71views more  JAT 2010»
14 years 11 months ago
Functions with prescribed best linear approximations
A common problem in applied mathematics is that of finding a function in a Hilbert space with prescribed best approximations from a finite number of closed vector subspaces. In ...
Patrick L. Combettes, Noli N. Reyes
FOCS
1992
IEEE
15 years 5 months ago
Quadratic Dynamical Systems (Preliminary Version)
The main purpose of this paper is to promote the study of computational aspects, primarily the convergence rate, of nonlinear dynamical systems from a combinatorial perspective. W...
Yuri Rabinovich, Alistair Sinclair, Avi Wigderson
CAGD
2005
112views more  CAGD 2005»
15 years 1 months ago
Estimating differential quantities using polynomial fitting of osculating jets
This paper addresses the point-wise estimation of differential properties of a smooth manifold S--a curve in the plane or a surface in 3D--assuming a point cloud sampled over S is...
Frédéric Cazals, Marc Pouget
JMIV
2007
83views more  JMIV 2007»
15 years 1 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore