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Approach to reducing the labeling cost of Markov random fields within an infinite label space
Chang Tsun Li
Research output
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Contribution to journal
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Article
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peer-review
6
Citations (Scopus)
Overview
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Keyphrases
Labeling Cost
100%
Markov Random Field
100%
Label Space
100%
Class number
66%
Computational Complexity
33%
Optimization Problem
33%
Maximum a Posteriori
33%
Local Characteristics
33%
Texture Segmentation
33%
Estimation Phase
33%
Finite Space
33%
Computer Science
Optimization Problem
100%
Phase Estimation
100%
Computational Complexity
100%
Conventional Method
100%
Texture Segmentation
100%
Engineering
Random Field
100%
Conventional Method
33%
Optimisation Problem
33%
Maximum a Posteriori
33%
Texture Segmentation
33%
Computational Complexity
33%
Phase Estimation
33%
Mathematics
Markov Random Fields
100%
Posteriori
33%
Finite Space
33%