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TSP
2010
14 years 4 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
SGP
2007
14 years 12 months ago
Focal surfaces of discrete geometry
The differential geometry of smooth three-dimensional surfaces can be interpreted from one of two perspectives: in terms of oriented frames located on the surface, or in terms of ...
Jingyi Yu, Xiaotian Yin, Xianfeng Gu, Leonard McMi...
ICASSP
2010
IEEE
14 years 9 months 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...
HPCC
2007
Springer
15 years 3 months ago
Maximum-Objective-Trust Clustering Solution and Analysis in Mobile Ad Hoc Networks
In mobile-AdHoc networks (MANETs), many applications need the support of layer-structure. Clustering solution is the most widely used layerstructure and the choosing of clusterhead...
Qiang Zhang, Guangming Hu, Zhenghu Gong
SIGPRO
2008
107views more  SIGPRO 2008»
14 years 9 months ago
Exploiting geometry for improved hybrid AOA/TDOA-based localization
In this paper we examine the geometrically constrained optimization approach to localization with hybrid bearing (angle of arrival, AOA) and time difference of arrival (TDOA) sens...
Adrian N. Bishop, Baris Fidan, Kutluyil Dogancay, ...