Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata.

For the DEAP data set, there is greater variation in accuracy across the dimensions and between methods; however, an overall trend of decreasing accuracy can still be seen, particularly past dimensions of 5000 at which point the accuracy drops below 74.5% and continues to decrease rapidly including a \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sim $$\end{document} ∼ 4.4% drop between 2000 and 1000.

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