Journal Article


Charles Markham
John Mc Donald
Daniel Kelly



humans anatomy histology image enhancement artificial intelligence image interpretation computer assisted sign language reproducibility of results sensitivity and specificity photography pattern recognition automated algorithms hand

Weakly supervised training of a sign language recognition system using multiple instance learning density matrices. (2010)

Abstract A system for automatically training and spotting signs from continuous sign language sentences is presented. We propose a novel multiple instance learning density matrix algorithm which automatically extracts isolated signs from full sentences using the weak and noisy supervision of text translations. The automatically extracted isolated samples are then utilized to train our spatiotemporal gesture and hand posture classifiers. The experiments were carried out to evaluate the performance of the automatic sign extraction, hand posture classification, and spatiotemporal gesture spotting systems. We then carry out a full evaluation of our overall sign spotting system which was automatically trained on 30 different signs.
Collections Ireland -> Maynooth University -> PubMed

Full list of authors on original publication

Charles Markham, John Mc Donald, Daniel Kelly

Experts in our system

Charles Markham
Maynooth University
Total Publications: 64
Daniel Kelly
University College Cork
Total Publications: 17