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ICTAI
2005
IEEE
15 years 12 months ago
Latent Process Model for Manifold Learning
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
15 years 11 months ago
A contractivity approach for probabilistic bisimulations of diffusion processes
— This work is concerned with the problem of characterizing and computing probabilistic bisimulations of diffusion processes. A probabilistic bisimulation relation between two su...
Alessandro Abate
ICCV
2001
IEEE
16 years 8 months ago
Stochastic Road Shape Estimation
We describe a new system for estimating road shape ahead of a vehicle for the purpose of driver assistance. The method utilises a single on board colour camera, together with iner...
Ben Southall, Camillo J. Taylor
DATE
2007
IEEE
92views Hardware» more  DATE 2007»
16 years 22 days ago
Random sampling of moment graph: a stochastic Krylov-reduction algorithm
In this paper we introduce a new algorithm for model order reduction in the presence of parameter or process variation. Our analysis is performed using a graph interpretation of t...
Zhenhai Zhu, Joel R. Phillips
GLOBECOM
2006
IEEE
16 years 13 days ago
Fast Stochastic Analysis of P2P File Distribution Architectures
— In this paper we investigate which is the most efficient architecture and protocol that can be used for file distribution. The focus of the analysis is to understand not only...
Damiano Carra, Renato Lo Cigno, Ernst W. Biersack