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NECO
2002
104views more  NECO 2002»
13 years 8 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
PDP
2007
IEEE
14 years 3 months ago
HAND: Highly Available Dynamic Deployment Infrastructure for Globus Toolkit 4
—Grid computing is becoming more and more attractive for coordinating large-scale heterogeneous resource sharing and problem solving. Of particular interest for effective Grid co...
Li Qi, Hai Jin, Ian T. Foster, Jarek Gawor
ISSTA
2004
ACM
14 years 2 months ago
Model checking XML manipulating software
The use of XML as the de facto data exchange standard has allowed integration of heterogeneous web based software systems regardless of implementation platforms and programming la...
Xiang Fu, Tevfik Bultan, Jianwen Su
CVPR
2006
IEEE
14 years 11 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
PKDD
2009
Springer
110views Data Mining» more  PKDD 2009»
14 years 3 months ago
Using Temporal Language Models for Document Dating
Abstract. In order to increase precision in searching for web pages or web documents, taking the temporal dimension into account is gaining increased interest. A particular problem...
Nattiya Kanhabua, Kjetil Nørvåg