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» Combining Estimators Using Non-Constant Weighting Functions
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172
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NECO
2011
14 years 11 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
161
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EMMCVPR
1999
Springer
15 years 9 months ago
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
Markus Svensén, Frithjof Kruggel, D. Yves v...
151
Voted
ICRA
2009
IEEE
142views Robotics» more  ICRA 2009»
15 years 11 months ago
Pose estimation and adaptive robot behaviour for human-robot interaction
— This paper introduces a new method to determine a person’s pose based on laser range measurements. Such estimates are typically a prerequisite for any human-aware robot navig...
Mikael Svenstrup, Søren Tranberg Hansen, Ha...
119
Voted
SIAMJO
2010
155views more  SIAMJO 2010»
14 years 11 months ago
Optimal Portfolio Execution Strategies and Sensitivity to Price Impact Parameters
When liquidating a portfolio of large blocks of risky assets, an institutional investor wants to minimize the cost as well as the risk of execution. An optimal execution strategy ...
Somayeh Moazeni, Thomas F. Coleman, Yuying Li
130
Voted
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
15 years 10 months ago
Estimating Probability Distribution with Q-learning for Biped Gait Generation and Optimization
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
Lingyun Hu, Changjiu Zhou, Zengqi Sun