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» Terminating Decision Algorithms Optimally
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ICML
2006
IEEE
16 years 4 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan
140
Voted
AAAI
2006
15 years 5 months ago
Estimating Search Tree Size
We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological ba...
Philip Kilby, John K. Slaney, Sylvie Thiéba...
123
Voted
NIPS
2004
15 years 5 months ago
Face Detection - Efficient and Rank Deficient
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...
Wolf Kienzle, Gökhan H. Bakir, Matthias O. Fr...
155
Voted
IMCSIT
2010
14 years 10 months ago
Multi-level Parallelization with Parallel Computational Services in BeesyCluster
The paper presents a concept, implementation and real examples of dynamic parallelization of computations using services derived from MPI applications deployed in the BeesyCluster ...
Pawel Czarnul
ICCV
2009
IEEE
16 years 8 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...