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5396views
17 years 3 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
15 years 8 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
15 years 5 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»
15 years 3 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
115
Voted
CHI
2007
ACM
16 years 4 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