نتایج جستجو برای: hierarchical model
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In recent years sports analytics has gotten more and more popular. We propose a model for Rugby data in particular to model the 2014 Six Nations tournament. We propose a Bayesian hierarchical model to estimate the characteristics that bring a team to lose or win a game, and predict the score of
We present results on an extension to our approach for automatic sports video annotation. Sports video is augmented with accelerometer data from wrist bands worn by umpires in the game. We solve the problem of automatic segmentation and robust gesture classification using a hierarchical hidden Markov model in conjunction with a filler model. The hierarchical model allows us to consider gestures...
please address correspondence to Ben Shneiderman To appear in International Journal of Human-Computer Studies
This article addresses the challenges of estimating hierarchical spatial models to large datasets. With the increasing availability of geocoded scientific data, hierarchical models involving spatial processes have become a popular method for carrying out spatial inference.
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