In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
Programming network processors remains a challenging task since their birth until recently when high-level programming environments for them are emerging. By employing domain speci...
Tao Liu, Xiao-Feng Li, Lixia Liu, Chengyong Wu, Ro...
This paper describes a novel approach to the problem of recovering information from an image set by comparing the radiance of hypothesised point correspondences. This method is app...
Interpolation is an important component of recent methods for program verification. It provides a natural and effective means for computing separation between the sets of ‘good...
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...