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CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 9 months ago
Robust Matrix Decomposition with Outliers
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
Daniel Hsu, Sham M. Kakade, Tong Zhang
CDC
2008
IEEE
107views Control Systems» more  CDC 2008»
15 years 4 months ago
Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm
— The Tunnel-MILP algorithm is a three stage path planning method for 2-D environments that relies on the identification of a sequence of convex polygons to form an obstacle fre...
Michael P. Vitus, Steven Lake Waslander, Claire J....
CDC
2010
IEEE
226views Control Systems» more  CDC 2010»
14 years 4 months ago
Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization
In this paper we study the constrained consensus problem, i.e. the problem of reaching a common point from the estimates generated by multiple agents that are constrained to lie in...
Ion Necoara, Ioan Dumitrache, Johan A. K. Suykens
STOC
2005
ACM
156views Algorithms» more  STOC 2005»
15 years 10 months ago
Convex programming for scheduling unrelated parallel machines
We consider the classical problem of scheduling parallel unrelated machines. Each job is to be processed by exactly one machine. Processing job j on machine i requires time pij . ...
Yossi Azar, Amir Epstein
FOCS
2009
IEEE
15 years 4 months ago
Decomposing Coverings and the Planar Sensor Cover Problem
We show that a k-fold covering using translates of an arbitrary convex polygon can be decomposed into Omega(k) covers (using an efficient algorithm). We generalize this result to ...
Matt Gibson, Kasturi R. Varadarajan