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» Transient Probability Functions: A Sample Path Approach
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CORR
2012
Springer
235views Education» more  CORR 2012»
13 years 9 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
INDOCRYPT
2009
Springer
15 years 8 months ago
Second Preimage Attack on SHAMATA-512
We present a second preimage attack on SHAMATA-512, which is a hash function of 512bit output and one of the first round candidates of the SHA-3 competition. The attack uses di...
Kota Ideguchi, Dai Watanabe
100
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JIRS
2007
108views more  JIRS 2007»
15 years 1 months ago
GODZILA: A Low-resource Algorithm for Path Planning in Unknown Environments
— In this paper, we propose a novel path-planning and obstacle avoidance algorithm GODZILA for navigation in unknown environments. No prior knowledge of the environment is requir...
Prashanth Krishnamurthy, Farshad Khorrami
ECCV
2006
Springer
16 years 3 months ago
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
Charles Florin, Nikos Paragios, James Williams
ECAI
2004
Springer
15 years 7 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...