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CVPR
2010
IEEE
16 years 9 days ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
GLOBECOM
2007
IEEE
15 years 11 months ago
Using MILP for Optimal Movement Planning in MANETs with Cooperative Mobility
— Rapid-deployment mobile ad-hoc networks (MANETs) are frequently characterized by common overarching mission objectives which make it reasonable to expect some degree of coopera...
Ghassen Ben Brahim, Osama Awwad, Ala I. Al-Fuqaha,...
ER
2007
Springer
99views Database» more  ER 2007»
15 years 11 months ago
Capturing Users' Everyday, Implicit Information Integration Decisions
Integration of large databases by expert teams is only a small part of the data integration activities that take place. Users without data integration expertise very often gather,...
David W. Archer, Lois M. L. Delcambre
WSC
2007
15 years 7 months ago
Hierarchical planning and multi-level scheduling for simulation-based probabilistic risk assessment
Simulation of dynamic complex systems—specifically, those comprised of large numbers of components with stochastic behaviors—for the purpose of probabilistic risk assessment f...
Hamed Nejad, Dongfeng Zhu, Ali Mosleh
NIPS
2000
15 years 6 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...