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ATAL
2011
Springer
12 years 8 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
INFOCOM
2012
IEEE
11 years 11 months ago
A robust boundary detection algorithm based on connectivity only for 3D wireless sensor networks
—In this work we develop a distributed boundary detection algorithm, dubbed Coconut, for 3D wireless sensor networks. It first constructs a tetrahedral structure to delineate th...
Hongyu Zhou, Hongyi Wu, Miao Jin
DLT
2007
13 years 10 months ago
The Dynamics of Cellular Automata in Shift-Invariant Topologies
Abstract. We study the dynamics of cellular automata, and more specifically their transitivity and expansivity, when the set of configurations is endowed with a shift-invariant (p...
Laurent Bienvenu, Mathieu Sablik
ECCV
2002
Springer
14 years 10 months ago
On Affine Invariant Clustering and Automatic Cast Listing in Movies
Abstract We develop a distance metric for clustering and classification algorithms which is invariant to affine transformations and includes priors on the transformation parameters...
Andrew W. Fitzgibbon, Andrew Zisserman
JCIT
2008
112views more  JCIT 2008»
13 years 8 months ago
On the design of metric relations
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
Lluís Belanche, Jorge Orozco