id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-19049	Portela, Tarlis Tortelli; Silva, Camila Leite da; Carvalho, Jonata Tyska; Bogorny, Vania	Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification	2021		.htm	text/html	6686	309	47	SUPERMovelets also automatically finds a threshold \(\lambda \) for limiting the maximum number of trajectory dimensions required in each movelet candidate, as an alternative for not exploring all dimension combinations. Equation (1) describes this quality function for a pivot candidate (\(\mathcal {P}\)) of a class: $$\begin{aligned} quality_{piv} = \frac{\sum ^{d=|C|}_{d=1} freq_{piv}(\mathcal {P},d,\mathbf{T}' )}{|C|} \end{aligned}$$ (1) Where C is the set of trajectory dimensions of \(\mathcal {P}\), and the quality is the average proportion that \(\mathcal {P}\) occurred in trajectories of the class in each dimension d of C. As there are different combinations of dimensions in each \(\mathcal {P}\), we measure the relative frequency as the average count that a \(\mathcal {P}\) occurred in each dimension, as described in (2). $$\begin{aligned} freq_{piv}(\mathcal {P}, d,\mathbf{T}' )	cache/bracis-19049.htm	txt/bracis-19049.txt