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JSW
2010
83views more  JSW 2010»
13 years 8 months ago
Estimating Model Parameters of Conditioned Soils by using Artificial Network
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
Zichang Shangguan, Shouju Li, Wei Sun, Maotian Lua...
ICML
2010
IEEE
13 years 10 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
IJCV
2008
188views more  IJCV 2008»
13 years 9 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
ATAL
2003
Springer
14 years 2 months ago
Representation and reasoning for DAML-based policy and domain services in KAoS and nomads
To increase the assurance with which agents can be deployed in operational settings, we have been developing the KAoS policy and domain services. In conjunction with Nomads strong...
Jeffrey M. Bradshaw, Andrzej Uszok, Renia Jeffers,...
DKE
2006
123views more  DKE 2006»
13 years 9 months ago
Cost models for distance joins queries using R-trees
The K-Closest-Pairs Query (K-CPQ), a type of distance join in spatial databases, discovers the K pairs of objects formed from two different datasets with the K smallest distances....
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...