There is an increasingly pressing need to develop document analysis methods that are able to cope with images of documents containing printed regions of complex shapes. Contrary t...
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
This paper holds on the application of two classification methods based on formal concept analysis (FCA) to interval data. The first method uses a similarity between objects while ...
Mehdi Kaytoue-Uberall, Zainab Assaghir, Nizar Mess...
Random forests ensemble classifier showed to be suitable for classifying mutlisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain :...
The core problem of multi-agent distributed data mining technology not concern particular data mining techniques although the latter is now paid the most attention. Its core probl...
Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoil...