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08/27/2020
Deep Learning for 2D grapevine bud detection
In Viticulture, visual inspection of the plant is a necessary task for m...
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07/21/2019
Log-linear models independence structure comparison
Log-linear models are a family of probability distributions which captur...
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08/08/2016
Blankets Joint Posterior score for learning Markov network structures
Markov networks are extensively used to model complex sequential, spatia...
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05/16/2014
Computer Vision Approach for Low Cost, High Precision Measurement of Grapevine Trunk Diameter in Outdoor Conditions
Trunk diameter is a variable of agricultural interest, used mainly in th...
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01/15/2014
Efficient Markov Network Structure Discovery Using Independence Tests
We present two algorithms for learning the structure of a Markov network...
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07/15/2013
Learning Markov networks with context-specific independences
Learning the Markov network structure from data is a problem that has re...
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06/10/2013
Markov random fields factorization with context-specific independences
Markov random fields provide a compact representation of joint probabili...
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01/16/2013
The IBMAP approach for Markov networks structure learning
In this work we consider the problem of learning the structure of Markov...
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01/18/2011
