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» A Note on Dynamic Data Driven Wildfire Modeling
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ICASSP
2007
IEEE
15 years 4 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown
NIPS
1998
14 years 11 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
TMI
2002
248views more  TMI 2002»
14 years 9 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
TASE
2008
IEEE
14 years 9 months ago
Group Elevator Scheduling With Advance Information for Normal and Emergency Modes
Group elevator scheduling has long been recognized as an important problem for building transportation efficiency, since unsatisfactory elevator service is one of the major complai...
Peter B. Luh, Bo Xiong, Shi-Chung Chang
COST
2009
Springer
205views Multimedia» more  COST 2009»
15 years 1 months ago
Ergodic HMM-UBM System for On-Line Signature Verification
Abstract. We propose a novel approach for on-line signature verification based on building HMM user models by adapting an ergodic Universal Background Model (UBM). State initializa...
Enrique Argones-Rúa, David Pérez-Pi&...