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» On Multiple Linear Approximations
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TSP
2010
14 years 6 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
CGF
2011
14 years 3 months ago
BSSRDF Estimation from Single Images
We present a novel method to estimate an approximation of the reflectance characteristics of optically thick, homogeneous translucent materials using only a single photograph as ...
Adolfo Muñoz, Jose I. Echevarria, Francisco...

Publication
353views
15 years 10 months ago
Shape from Shading with Perspective Projection
Most conventional SFS (shape from shading) algorithms have been developed under the assumption of orthographic projection. However, the assumption is not valid when an object is no...
Kyoung Mu Lee (Seoul National University), C.-C. J...
COMPGEOM
2010
ACM
15 years 4 months ago
Computing similarity between piecewise-linear functions
We study the problem of computing the similarity between two piecewise-linear bivariate functions defined over a common domain, where the surfaces they define in 3D—polyhedral...
Pankaj K. Agarwal, Boris Aronov, Marc J. van Kreve...
FOCS
2004
IEEE
15 years 3 months ago
Worst-Case to Average-Case Reductions Based on Gaussian Measures
We show that finding small solutions to random modular linear equations is at least as hard as approximating several lattice problems in the worst case within a factor almost line...
Daniele Micciancio, Oded Regev