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» Learning Gaussian processes from multiple tasks
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HRI
2010
ACM
15 years 10 months ago
Investigating multimodal real-time patterns of joint attention in an hri word learning task
Abstract—Joint attention – the idea that humans make inferences from observable behaviors of other humans by attending to the objects and events that these others humans attend...
Chen Yu, Matthias Scheutz, Paul W. Schermerhorn
ICML
2008
IEEE
16 years 4 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 10 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 9 months ago
Monocular range sensing: A non-parametric learning approach
Abstract— Mobile robots rely on the ability to sense the geometry of their local environment in order to avoid obstacles or to explore the surroundings. For this task, dedicated ...
Christian Plagemann, Felix Endres, Juergen Michael...
NIPS
2003
15 years 4 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...