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ECAL
1995
Springer
15 years 1 months ago
Evolving Artificial Neural Networks that Develop in Time
Although recently there has been an increasing interest in studing genetically-based development using Artificial Life models, the mapping of the genetic information into the phen...
Stefano Nolfi, Domenico Parisi
NIPS
2008
14 years 11 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
APN
2000
Springer
15 years 2 months ago
Pre- and Post-agglomerations for LTL Model Checking
One of the most efficient analysis technique is to reduce an original model into a simpler one such that the reduced model has the same properties than the original one. G. Berthel...
Denis Poitrenaud, Jean-François Pradat-Peyr...
75
Voted
CVPR
2007
IEEE
16 years 5 days ago
Speckle Tracking in 3D Echocardiography with Motion Coherence
Tracking of speckles in echocardiography enables the study of myocardium deformation, and thus can provide insights about heart structure and function. Most of the current methods...
Xubo B. Song, Andriy Myronenko, David J. Sahn
76
Voted
ICIP
2004
IEEE
15 years 11 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy