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NIPS
2001
13 years 11 months ago
The Concave-Convex Procedure (CCCP)
We introduce the Concave-Convex procedure (CCCP) which constructs discrete time iterative dynamical systems which are guaranteed to monotonically decrease global optimization/ener...
Alan L. Yuille, Anand Rangarajan
UAI
2003
13 years 11 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 9 months ago
Decentralised Learning MACs for Collision-free Access in WLANs
By combining the features of CSMA and TDMA, fully decentralised WLAN MAC schemes have recently been proposed that converge to collision-free schedules. In this paper we describe a ...
Minyu Fang, David Malone, Ken R. Duffy, Douglas J....
JEA
2008
88views more  JEA 2008»
13 years 9 months ago
Multilevel algorithms for linear ordering problems
Linear ordering problems are combinatorial optimization problems which deal with the minimization of different functionals in which the graph vertices are mapped onto (1, 2, ..., ...
Ilya Safro, Dorit Ron, Achi Brandt
TSP
2008
144views more  TSP 2008»
13 years 9 months ago
A New Robust Variable Step-Size NLMS Algorithm
A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm o...
Leonardo Rey Vega, Hernan Rey, Jacob Benesty, Sara...