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» Belief Update Using Graphs
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ILP
2003
Springer
14 years 4 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
PR
2000
153views more  PR 2000»
13 years 10 months ago
A region-level motion-based graph representation and labeling for tracking a spatial image partition
This paper addresses two image sequence analysis issues under a common framework. These tasks are, "rst, motion-based segmentation and second, updating and tracking over time...
Marc Gelgon, Patrick Bouthemy
PAMI
1998
107views more  PAMI 1998»
13 years 10 months ago
Graph Matching With a Dual-Step EM Algorithm
—This paper describes a new approach to matching geometric structure in 2D point-sets. The novel feature is to unify the tasks of estimating transformation geometry and identifyi...
Andrew D. J. Cross, Edwin R. Hancock
CVPR
2012
IEEE
12 years 1 months ago
Robust non-rigid registration of 2D and 3D graphs
We present a new approach to matching graphs embedded in R2 or R3 . Unlike earlier methods, our approach does not rely on the similarity of local appearance features, does not req...
Eduard Serradell, Przemyslaw Glowacki, Jan Kybic, ...
GLOBECOM
2008
IEEE
14 years 5 months ago
Rate Adaptive Binary Erasure Quantization with Dual Fountain Codes
—In this contribution, duals of fountain codes are introduced and their use for lossy source compression is investigated. It is shown both theoretically and experimentally that t...
Dino Sejdinovic, Robert J. Piechocki, Angela Doufe...