Due to their number of parameters, convolutional neural networks are known to take long
training periods and extended inference time. Learning may take so much computational …

Deep Learning has achieved state-of-the-art results in several domains, such as image
processing, natural language processing, and audio processing. To accomplish such …

Abstract Automatic Sign Language Recognition (SLR) is a critical step in facilitating
communication between deaf and hearing people. An interesting application of such a …

Abstract The Optimum-Path Forest (OPF) is a framework for the design of graph-based
classifiers, which covers supervised, semisupervised, and unsupervised applications. The …