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» The approximation power of moving least-squares
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ICML
2006
IEEE
14 years 8 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
CGF
2010
157views more  CGF 2010»
13 years 4 months ago
Non-iterative Second-order Approximation of Signed Distance Functions for Any Isosurface Representation
Signed distance functions (SDF) to explicit or implicit surface representations are intensively used in various computer graphics and visualization algorithms. Among others, they ...
Vladimir Molchanov, Paul Rosenthal, Lars Linsen
SGP
2007
13 years 9 months ago
Data-dependent MLS for faithful surface approximation
In this paper we present a high-fidelity surface approximation technique that aims at a faithful reconstruction of piecewise-smooth surfaces from a scattered point set. The presen...
Yaron Lipman, Daniel Cohen-Or, David Levin
MOC
1998
111views more  MOC 1998»
13 years 7 months ago
The approximation power of moving least-squares
A general method for near-best approximations to functionals on Rd, using scattered-data information is discussed. The method is actually the moving least-squares method, presented...
David Levin
CIVR
2005
Springer
169views Image Analysis» more  CIVR 2005»
14 years 27 days ago
An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams
Abstract. We introduce a view–point invariant representation of moving object trajectories that can be used in video database applications. It is assumed that trajectories lie on...
Walter Nunziati, Stan Sclaroff, Alberto Del Bimbo