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CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 3 months ago
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre
DA
2010
123views more  DA 2010»
15 years 3 months ago
Paradoxes in Learning and the Marginal Value of Information
We consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among severa...
Peter Frazier, Warren B. Powell
CDC
2010
IEEE
176views Control Systems» more  CDC 2010»
15 years 1 months ago
Optimal trajectories for multi robot localization
This paper considers the problem of multi robot localization. The analysis is focused on the problem of determining which are the optimal robot trajectories in order to minimize th...
Andrea Cristofaro, Agostino Martinelli
JCNS
2010
103views more  JCNS 2010»
15 years 1 months ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
TASE
2010
IEEE
15 years 1 months ago
Sensor Placement for Triangulation-Based Localization
Robots operating in a workspace can localize themselves by querying nodes of a sensor-network deployed in the same workspace. This paper addresses the problem of computing the min...
Onur Tekdas, Volkan Isler