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» Grasp Analysis as Linear Matrix Inequality Problems
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JMLR
2010
136views more  JMLR 2010»
14 years 4 months ago
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
Ming Yuan
NIPS
2004
14 years 11 months ago
Triangle Fixing Algorithms for the Metric Nearness Problem
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
ICML
2007
IEEE
15 years 10 months ago
Classifying matrices with a spectral regularization
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
Ryota Tomioka, Kazuyuki Aihara
ICNSC
2007
IEEE
15 years 3 months ago
Improved estimation for object localization via sensor networks
The paper addresses object localization via a distributed sensor network. A centralized estimation approach is undertaken along with a selective node activation strategy to ensure...
Alessio Benavoli, Luigi Chisci
CDC
2008
IEEE
291views Control Systems» more  CDC 2008»
14 years 11 months ago
Structured semidefinite representation of some convex sets
Linear matrix Inequalities (LMIs) have had a major impact on control but formulating a problem as an LMI is an art. Recently there is the beginnings of a theory of which problems ...
J. William Helton, Jiawang Nie