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TIT
2008
109views more  TIT 2008»
13 years 7 months ago
Statistical Analysis of Bayes Optimal Subset Ranking
Abstract--The ranking problem has become increasingly important in modern applications of statistical methods in automated decision making systems. In particular, we consider a for...
David Cossock, Tong Zhang
CVPR
2009
IEEE
15 years 2 months ago
Continuous Maximal Flows and Wulff Shapes: Application to MRFs
Convex and continuous energy formulations for low level vision problems enable efficient search procedures for the corresponding globally optimal solutions. In this work we exte...
Christopher Zach (UNC Chapel Hill), Marc Niethamme...
JMLR
2012
11 years 10 months ago
Message-Passing Algorithms for MAP Estimation Using DC Programming
We address the problem of finding the most likely assignment or MAP estimation in a Markov random field. We analyze the linear programming formulation of MAP through the lens of...
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
CEC
2007
IEEE
13 years 11 months ago
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
Julio J. Valdés, Alan J. Barton, Robert Orc...
IJRR
2011
99views more  IJRR 2011»
13 years 2 months ago
Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment
This paper unifies and extends several different existing strategies for deploying groups of robots in an environment. A cost function is proposed that can be specialized to rep...
Mac Schwager, Daniela Rus, Jean-Jacques E. Slotine