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» On Unbiased Linear Approximations
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SODA
2008
ACM
100views Algorithms» more  SODA 2008»
15 years 8 months ago
Maintaining deforming surface meshes
We present a method to maintain a mesh approximating a deforming surface, which is specified by a dense set of sample points. We identify a reasonable motion model for which a pro...
Siu-Wing Cheng, Tamal K. Dey
AAAI
2006
15 years 8 months ago
Point-based Dynamic Programming for DEC-POMDPs
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
Daniel Szer, François Charpillet
NIPS
2003
15 years 8 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin
CGF
2010
113views more  CGF 2010»
15 years 6 months ago
Signing the Unsigned: Robust Surface Reconstruction from Raw Pointsets
We propose a modular framework for robust 3D reconstruction from unorganized, unoriented, noisy, and outlierridden geometric data. We gain robustness and scalability over previous...
Patrick Mullen, Fernando de Goes, Mathieu Desbrun,...
CORR
2010
Springer
200views Education» more  CORR 2010»
15 years 6 months ago
A Multilevel Approach For Nonnegative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particul...
Nicolas Gillis, François Glineur