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ICML
2008
IEEE
16 years 5 months ago
The dynamic hierarchical Dirichlet process
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
Lu Ren, David B. Dunson, Lawrence Carin
KDD
2006
ACM
176views Data Mining» more  KDD 2006»
16 years 5 months ago
A framework for analysis of dynamic social networks
Finding patterns of social interaction within a population has wide-ranging applications including: disease modeling, cultural and information transmission, and behavioral ecology...
Tanya Y. Berger-Wolf, Jared Saia
DAGM
2009
Springer
15 years 11 months ago
Simultaneous Estimation of Pose and Motion at Highly Dynamic Turn Maneuvers
Abstract. The (Extended) Kalman filter has been established as a standard method for object tracking. While a constraining motion model stabilizes the tracking results given noisy...
Alexander Barth, Jan Siegemund, Uwe Franke, Wolfga...
CIMCA
2005
IEEE
15 years 10 months ago
Oscillatory neural network for adaptive dynamical image processing
We develop a biologically motivated oscillatory network model and related dynamical synchronizationbased method of image segmentation. The first version of successive segmentation...
Margarita Kuzmina, Edward A. Manykin
OOPSLA
2005
Springer
15 years 10 months ago
SelfSync: a dynamic round-trip engineering environment
Model-Driven Engineering (MDE) advocates the generation of software applications from models, which are views on certain aspects of the software. In order to minimize the delta bet...
Ellen Van Paesschen, Wolfgang De Meuter, Maja D'Ho...