Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
This paper presents a new approach that can be used to speed up SystemC simulations by automatically optimizing the model for simulation. The work addresses the inefficiency of th...
In the current information age, the dominant method for information search is by providing few keywords to a search engine. Keyword search is currently one of the most important o...
Matching feature points between images is one of the most fundamental issues in computer vision tasks. As the number of feature points increases, the feature matching rapidly becom...
Faraj Alhwarin, Danijela Ristić–Durrant and Axe...
Mobile ad-hoc networks (MANETs) present quite large packet loss bursts due to mobility. In this work we propose two models based on hidden Markov models for estimating packet arri...
Carlos Miguel Tavares Calafate, Pietro Manzoni, Ma...