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AINA
2008
IEEE
15 years 11 months ago
Performance Optimization of Temporal Reasoning for Grid Workflows Using Relaxed Region Analysis
With quick evolution of grid technologies and increasing complexity of e-Science applications, reasoning temporal properties of grid workflows to ensure reliability and trustworth...
Ke Xu, Junwei Cao, Lianchen Liu, Cheng Wu
ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
15 years 9 months ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
SBRN
1998
IEEE
15 years 8 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
CVPR
2007
IEEE
16 years 6 months 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
118
Voted
AI
2007
Springer
15 years 10 months ago
Adding Local Constraints to Bayesian Networks
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘or...
Mark Crowley, Brent Boerlage, David Poole