code.zip

demo version of my code for the paper: “Arousal Content Representation of Sports Videos Using Dynami

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This is a demo version of my code for the paper: “ Arousal Content Representation of Sports Videos
Using Dynamic Prediction Hidden Markov Models” just run “demo.m” . The code shows the predicted curve for every iteration of the EM algorithm and compares it to linear regression for a 2 state example. The function required are all included
I made some changes with respect to regularization so it runs smoothly for this data but it may not always converge to a local maximum so you may have to run it multiple times.
generates toy data as well.

Citar como

Joseph Santarcangelo (2026). code.zip (https://es.mathworks.com/matlabcentral/fileexchange/46969-code-zip), MATLAB Central File Exchange. Recuperado .

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Más información sobre Linear and Nonlinear Regression en Help Center y MATLAB Answers.

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión Action
1.3.0.0

made read me a pdf

1.2.0.0

Read me

1.1.0.0

The code shows the predicted curve for every iteration of the EM algorithm and compares it to linear regression for a 2 state example.

1.0.0.0