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» A Heuristic Method for Business Process Model Evaluation
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CVPR
2012
IEEE
13 years 9 months ago
Multi-target tracking by online learning of non-linear motion patterns and robust appearance models
We describe an online approach to learn non-linear motion patterns and robust appearance models for multi-target tracking in a tracklet association framework. Unlike most previous...
Bo Yang, Ram Nevatia
SIGIR
2010
ACM
15 years 10 months ago
Spatial relationships in visual graph modeling for image categorization
In this paper, a language model adapted to graph-based representation of image content is proposed and assessed. The full indexing and retrieval processes are evaluated on two diļ...
Trong-Ton Pham, Philippe Mulhem, Loïc Maisonn...
CSB
2005
IEEE
129views Bioinformatics» more  CSB 2005»
16 years 18 days ago
Deformable Modeling for Improved Calculation of Molecular Velocities from Single-Particle Tracking
Single-particle tracking provides a powerful technique for measuring dynamic cellular processes on the level of individual molecules. Much recent work has been devoted to using si...
Peter M. Kasson, Mark M. Davis, Axel T. Brüng...
IPMI
2005
Springer
16 years 7 months ago
Bayesian Population Modeling of Effective Connectivity
Abstract. A hierarchical model based on the Multivariate Autoregessive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to ...
Eric R. Cosman Jr., William M. Wells III
162
Voted
CSDA
2007
108views more  CSDA 2007»
15 years 7 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio