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» On Algorithm for Estimation of Selecting Core
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SODA
2003
ACM
121views Algorithms» more  SODA 2003»
13 years 9 months ago
Competitiveness via consensus
We introduce the following consensus estimate problem. Several processors hold private and possibly different lower bounds on a value. The processors do not communicate with each ...
Andrew V. Goldberg, Jason D. Hartline
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
14 years 2 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
JMLR
2010
104views more  JMLR 2010»
13 years 2 months ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
JMLR
2010
130views more  JMLR 2010»
13 years 2 months ago
A Regularization Approach to Nonlinear Variable Selection
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...
CVPR
2010
IEEE
14 years 4 months ago
A Game-Theoretic Approach to Fine Surface Registration without Initial Motion Estimation
Surface registration is a fundamental step in the reconstruction of three-dimensional objects. This is typically a two step process where an initial coarse motion estimation is fo...
Andrea Albarelli, Andrea Torsello, Emanuele Rodol