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CORR
2011
Springer
202views Education» more  CORR 2011»
12 years 12 months ago
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems
The analysis of online least squares estimation is at the heart of many stochastic sequential decision-making problems. We employ tools from the self-normalized processes to provi...
Yasin Abbasi-Yadkori, Dávid Pál, Csa...
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 3 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
ICASSP
2011
IEEE
12 years 8 months ago
Revisiting adaptive least-squares estimation and application to online sparse signal recovery
This paper presents a novel time-adaptive estimation technique by revisiting the classical Wiener-Hopf equation. Any convex and not necessarily differentiable function can be used...
Konstantinos Slavakis, Yannis Kopsinis, Sergios Th...
ICASSP
2010
IEEE
13 years 5 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ICASSP
2011
IEEE
12 years 8 months ago
Recursive estimation of room impulse responses with energy conservation constraints
This paper considers the problem of constrained tracking the timevarying room impulse response of a source/microphone pair. The constraint which is used to improve the performance...
Stefan Uhlich, Bin Yang