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» The Measurable Space of Stochastic Processes
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DAGM
2007
Springer
14 years 4 months ago
Clustered Stochastic Optimization for Object Recognition and Pose Estimation
We present an approach for estimating the 3D position and in case of articulated objects also the joint configuration from segmented 2D images. The pose estimation without initial...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
ICONIP
2008
13 years 11 months ago
On Similarity Measures for Spike Trains
A variety of (dis)similarity measures for one-dimensional point processes (e.g., spike trains) are investigated, including the Victor-Purpura distance metric, the van Rossum distan...
Justin Dauwels, François B. Vialatte, Theop...
ML
2002
ACM
143views Machine Learning» more  ML 2002»
13 years 9 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
ICPR
2000
IEEE
14 years 11 months ago
Snakes and Spiders
We consider di usion processes on a class of R trees. The processes are de ned in a manner similar to that of Le Gall's Brownian snake. Each point in the tree has a real value...
Brendan McCane
AIIDE
2008
14 years 5 days ago
Stochastic Plan Optimization in Real-Time Strategy Games
We present a domain independent off-line adaptation technique called Stochastic Plan Optimization for finding and improving plans in real-time strategy games. Our method is based ...
Andrew Trusty, Santiago Ontañón, Ash...