This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
— Standard methods to model multibody systems are aimed at systems with configuration spaces isomorphic to Rn . This limitation leads to singularities and other artifacts in cas...
— In this paper we propose a new technique allowing to map descriptive data into relative distance space, which is based primarily on senses of the terms stored in our data. We u...
M. Shahriar Hossain, Monika Akbar, Rafal A. Angryk
Abstract. In automatic sign language translation, one of the main problems is the usage of spatial information in sign language and its proper representation and translation, e.g. ...
In this paper, we present a novel segmentationinsensitive approach for mining common patterns from 2 images. We develop an algorithm using the Earth Movers Distance (EMD) framewor...