2 papers
cs.HC2020
Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface
Javier Fumanal-Idocin, Zdenko Takáč, Javier Fernández Jose Antonio Sanz +4
In this work we study the use of moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data. To do so, we introduce the notion o…
cs.CV2020
Adaptive binarization based on fuzzy integrals
Francesco Bardozzo, Borja De La Osa, Lubomira Horanska +6
Adaptive binarization methodologies threshold the intensity of the pixels with respect to adjacent pixels exploiting the integral images. In turn, the integral images are generally…