… this direction to the best of our knowledge. To better apply self-training to scene text detection…
[38] used three networks asymmetrically, where two networks were used to label unlabeled …

… is not well defined for digraphs because D is rendered meaningless when edges have
directionality. One can instead consider a generic asymmetric GSO S, for instance, the adjacency …

… Note that the RF-Adaptor allows bi-directional data flowing and synchronously reinforces …
and thus is not recommended for our asymmetry (with unequal information) dual branches, so …

… we can estimate the inclination angle of the tangential direction to the path at the current point
… of asymmetry of the impulse is proportional to the ratio (see Eq. 19), the two characteristics …

… Handwriting Character Recognition is a very captivating … function, the average accumulated
recognition rate of 30 candidates is 99.86%. Fine classification is done using Asymmetric …

… In this paper, we present the asymmetrical training method as an alternative update direction
estimator for PNNs. The AT method treats the PNN as a grey box structure, requiring little …

… The main objective of this research is to investigate the use of … and asymmetric activities.
This study provides a new approach for classifying symmetric and asymmetric motions using a …

… Additionally, we added synthetic images to the original picture collection to prepare an
augmented dataset for symbol detection. In this scenario, we employed You Look Only Once (…

… have been identified in human head pose: within angle and between angle asymmetry.
Taking these two characteristics into account, we have devised a Double Asymmetric …

… Symbol recognition techniques used in structural HME recognizers … asymmetric Siamese
network that narrows the gap between HME images and the printed templates for better feature …