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ICML
2005
IEEE
16 years 15 days ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
3DPVT
2004
IEEE
104views Visualization» more  3DPVT 2004»
15 years 3 months ago
Interactive Modeling from Dense Color and Sparse Depth
We are developing a system for interactive modeling of real world scenes. The acquisition device consists of a video camera enhanced with an attached laser system. As the operator...
Voicu Popescu, Elisha Sacks, Gleb Bahmutov
ICASSP
2010
IEEE
14 years 12 months ago
Estimation of frame independent and enhancement components for speech communication over packet networks
In this paper, we describe a new approach to cope with packet loss in speech coders. The idea is to split the information present in each speech packet into two components, one to...
Daniele Giacobello, Manohar N. Murthi, Mads Gr&ael...
113
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AMS
2005
Springer
182views Robotics» more  AMS 2005»
15 years 5 months ago
Visual Odometry Using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle
Visual Odometry is the process of estimating the movement of a (stereo) camera through its environment by matching point features between pairs of consecutive image frames. No prio...
Niko Sünderhauf, Kurt Konolige, Simon Lacroix...
IJHPCA
2007
88views more  IJHPCA 2007»
14 years 11 months ago
Performance Optimization and Modeling of Blocked Sparse Kernels
We present a method for automatically selecting optimal implementations of sparse matrixvector operations. Our software ‘AcCELS’ (Accelerated Compress-storage Elements for Lin...
Alfredo Buttari, Victor Eijkhout, Julien Langou, S...