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15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
SRDS
2000
IEEE
13 years 11 months ago
Issues Insufficiently Resolved in Century 20 in the Fault-Tolerant Distributed Computing Field
: As Century 21 just opened up, it is a fitting time to reflect on the evolution of the fault-tolerant distributed computing technology that occurred in the last century. The autho...
K. H. Kim
ESANN
2008
13 years 8 months ago
Computationally Efficient Neural Field Dynamics
We propose a modification of the dynamic neural field model of Amari [1], aiming at reducing the simulation effort by employing spaceand frequency representations of the dynamic st...
Alexander Gepperth, Jannik Fritsch, Christian Goer...
MOC
2000
74views more  MOC 2000»
13 years 7 months ago
Computing the tame kernel of quadratic imaginary fields
J. Tate has determined the group K2OF (called the tame kernel) for six quadratic imaginary number fields F = Q( d), where d = -3, -4, -7, -8, -11, -15. Modifying the method of Tat...
Jerzy Browkin, Karim Belabas, Herbert Gangl
CHI
2007
ACM
14 years 7 months ago
Disruption and recovery of computing tasks: field study, analysis, and directions
We report on a field study of the multitasking behavior of computer users focused on the suspension and resumption of tasks. Data was collected with a tool that logged users'...
Shamsi T. Iqbal, Eric Horvitz