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» Bounds on linear PDEs via semidefinite optimization
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CORR
2010
Springer
182views Education» more  CORR 2010»
14 years 9 months ago
Index coding via linear programming
Abstract Anna Blasiak Robert Kleinberg Eyal Lubetzky Index Coding has received considerable attention recently motivated in part by applications such as fast video-on-demand and e...
Anna Blasiak, Robert D. Kleinberg, Eyal Lubetzky
PKC
2010
Springer
138views Cryptology» more  PKC 2010»
15 years 1 months ago
Maximizing Small Root Bounds by Linearization and Applications to Small Secret Exponent RSA
We present an elementary method to construct optimized lattices that are used for finding small roots of polynomial equations. Former methods first construct some large lattice i...
Mathias Herrmann, Alexander May
66
Voted
CVPR
2007
IEEE
15 years 11 months ago
Autocalibration via Rank-Constrained Estimation of the Absolute Quadric
We present an autocalibration algorithm for upgrading a projective reconstruction to a metric reconstruction by estimating the absolute dual quadric. The algorithm enforces the ra...
Manmohan Krishna Chandraker, Sameer Agarwal, Fredr...
PAMI
2007
176views more  PAMI 2007»
14 years 9 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
Nikos Komodakis, Georgios Tziritas
92
Voted
JMLR
2008
169views more  JMLR 2008»
14 years 9 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen