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ICML
2006
IEEE
16 years 5 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICIP
2004
IEEE
16 years 5 months ago
A RST resilient object-based video watermarking scheme
In this paper, a blind object-based video watermarking scheme, which is robust to MPEG4 compression and normal video editing such as Rotation, Scaling or Translation (RST), is pro...
Dajun He, Qibin Sun
128
Voted
ICIP
2002
IEEE
16 years 5 months ago
Complexity regularized shape estimation from noisy Fourier data
We consider the estimation of an unknown arbitrary 2D object shape from sparse noisy samples of its Fourier transform. The estimate of the closed boundarycurve is parametrized by ...
Natalia A. Schmid, Yoram Bresler, Pierre Moulin
IDA
2007
Springer
15 years 10 months ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini
EH
2002
IEEE
139views Hardware» more  EH 2002»
15 years 9 months ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee