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JAIR
2006
143views more  JAIR 2006»
14 years 9 months ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
CCCG
2008
14 years 11 months ago
Improved Bounds on the Average Distance to the Fermat-Weber Center of a Convex Object
We show that for any convex object Q in the plane, the average distance between the Fermat-Weber center of Q and the points in Q is at least 4(Q)/25, and at most 2(Q)/(3 3), wher...
A. Karim Abu-Affash, Matthew J. Katz
CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
15 years 4 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
NIPS
2007
14 years 11 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
NIPS
2003
14 years 11 months ago
Convex Methods for Transduction
The 2-class transduction problem, as formulated by Vapnik [1], involves finding a separating hyperplane for a labelled data set that is also maximally distant from a given set of...
Tijl De Bie, Nello Cristianini