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AGENTS
1999
Springer
15 years 5 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
15 years 2 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber
CVPR
2009
IEEE
16 years 7 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
ICIP
2005
IEEE
16 years 2 months ago
Graph cuts segmentation using an elliptical shape prior
We present a graph cuts-based image segmentation technique that incorporates an elliptical shape prior. Inclusion of this shape constraint restricts the solution space of the segm...
Gregory G. Slabaugh, Gozde B. Unal
184
Voted
ICDE
1995
IEEE
98views Database» more  ICDE 1995»
16 years 2 months ago
Relational Database Compression Using Augmented Vector Quantization
Data compression is one way to alleviate the 1/0bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the ...
Wee Keong Ng, Chinya V. Ravishankar