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ICASSP
2010
IEEE
15 years 10 hour ago
Distributed Lasso for in-network linear regression
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
Juan Andrés Bazerque, Gonzalo Mateos, Georg...
AUTOMATICA
2010
146views more  AUTOMATICA 2010»
14 years 12 months ago
Parameter estimation and compensation in systems with nonlinearly parameterized perturbations
We consider a class of systems influenced by perturbations that are nonlinearly parameterized by unknown constant parameters, and develop a method for estimating the unknown param...
Håvard Fjær Grip, Tor Arne Johansen, L...
CORR
2007
Springer
109views Education» more  CORR 2007»
14 years 11 months ago
Graph rigidity, Cyclic Belief Propagation and Point Pattern Matching
—A recent paper [1] proposed a provably optimal polynomial time method for performing near-isometric point pattern matching by means of exact probabilistic inference in a chordal...
Julian John McAuley, Tibério S. Caetano, Ma...
JSAC
2006
108views more  JSAC 2006»
14 years 11 months ago
Distributed Nonlinear Integer Optimization for Data-Optical Internetworking
Abstract--We present a novel approach for joint optical network provisioning and Internet protocol (IP) traffic engineering, in which the IP and optical networks collaboratively op...
Anwar Elwalid, Debasis Mitra, Qiong Wang
PAMI
2006
134views more  PAMI 2006»
14 years 11 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee