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» Automatic Gait Optimization with Gaussian Process Regression
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IDEAL
2004
Springer
14 years 2 days ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris
CRV
2007
IEEE
137views Robotics» more  CRV 2007»
14 years 1 months ago
Computing View-normalized Body Parts Trajectories
This paper proposes an approach to compute viewnormalized body part trajectories of pedestrians from monocular video sequences. The proposed approach first extracts the 2D trajec...
Frédéric Jean, Robert Bergevin, Alex...
CEC
2011
IEEE
12 years 6 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
NIPS
2007
13 years 8 months ago
Bundle Methods for Machine Learning
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
ICML
2010
IEEE
13 years 7 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause