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CVPR
2012
IEEE
12 years 17 days ago
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
Jun He, Laura Balzano, Arthur Szlam
ATAL
2009
Springer
14 years 4 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
SEBD
2007
164views Database» more  SEBD 2007»
13 years 11 months ago
Online Distribution Estimation for Streaming Data: Framework and Applications
In the last few years, we have been witnessing an evergrowing need for continuous observation and monitoring applications. This need is driven by recent technological advances that...
Themis Palpanas, Vana Kalogeraki, Dimitrios Gunopu...
ICML
2009
IEEE
14 years 11 months ago
Online feature elicitation in interactive optimization
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Craig Boutilier, Kevin Regan, Paolo Viappiani
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
14 years 4 months ago
Online object search with a humanoid robot
— This paper presents an object active visual search behavior in a 3D environment performed by a HRP-2 humanoid robot. The search is formalized as an optimization problem in whic...
François Saïdi, Olivier Stasse, Kazuhi...