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» Grasp Analysis as Linear Matrix Inequality Problems
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JMLR
2010
136views more  JMLR 2010»
13 years 2 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
13 years 9 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
14 years 8 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
14 years 2 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»
13 years 9 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