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JMLR
2010
144views more  JMLR 2010»
15 years 1 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
JMLR
2010
164views more  JMLR 2010»
15 years 1 months ago
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
The Uncapacitated Facility Location Problem (UFLP) is one of the most widely studied discrete location problems, whose applications arise in a variety of settings. We tackle the U...
Nevena Lazic, Brendan J. Frey, Parham Aarabi
SIAMNUM
2010
118views more  SIAMNUM 2010»
15 years 1 months ago
Discontinuous Galerkin Methods for Solving Elliptic Variational Inequalities
Abstract. We study discontinuous Galerkin methods for solving elliptic variational inequalities, of both the first and second kinds. Analysis of numerous discontinuous Galerkin sch...
Fei Wang, Weimin Han, Xiao-Liang Cheng
CORR
2011
Springer
183views Education» more  CORR 2011»
15 years 1 months ago
Reconstruction of Binary Functions and Shapes from Incomplete Frequency Information
The characterization of a binary function by partial frequency information is considered. We show that it is possible to reconstruct the binary signal from incomplete frequency me...
Yu Mao
CORR
2011
Springer
157views Education» more  CORR 2011»
14 years 10 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir