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ICINCO
2007
85views Robotics» more  ICINCO 2007»
14 years 11 months ago
A distributed multi-robot sensing system using an infrared location system
— Distributed sensing refers to measuring systems where instead of one sensor multiple sensors are spatially distributed improving robustness of the system, increasing relevancy ...
Anssi Kemppainen, Janne Haverinen, Juha Rönin...
PODS
2005
ACM
151views Database» more  PODS 2005»
15 years 9 months ago
Estimating arbitrary subset sums with few probes
Suppose we have a large table T of items i, each with a weight wi, e.g., people and their salary. In a general preprocessing step for estimating arbitrary subset sums, we assign e...
Noga Alon, Nick G. Duffield, Carsten Lund, Mikkel ...
CORR
2008
Springer
152views Education» more  CORR 2008»
14 years 9 months ago
Characterizing User Mobility in Second Life
In this work we present a measurement study of user mobility in Second Life. We first discuss different techniques to collect user traces and then focus on results obtained using ...
Chi-Anh La, Pietro Michiardi
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
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...