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» Transient Probability Functions: A Sample Path Approach
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CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 4 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
14 years 3 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
JIRS
2007
108views more  JIRS 2007»
13 years 9 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
14 years 11 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
14 years 2 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...