Creating and sharing knowledge for telecommunications

Project: Unsupervised and Semi-Supervised Learning from Big Data

Acronym: LearnBIG
Main Objective:
The main objectives of this project are:
1. Develop new algorithms for large-scale unsupervised and weakly-supervised learning for sequences;
2. Improve the state of the art in representation-based learning;
3. Adapt and develop new online clustering algorithms to streaming data;
4. Apply the proposed techniques to real-world problems in the domains of bio-signal analysis and text processing.
Reference: PTDC/EEI-SII/7092/2014
Funding: FCT/PTDC
Start Date: 01-05-2016
End Date: 01-06-2018
Team: Ana Luisa Nobre Fred, Mario Alexandre Teles de Figueiredo, André Filipe Torres Martins, Gonçalo Migueis Matos Afonso Correia, Helena Isabel Aidos Lopes, Hugo Humberto Plácido da Silva, Andre Ribeiro Lourenco
Groups: Pattern and Image Analysis – Lx
Partners: Cruz Vermelha Portuguesa, Hospital de Santa Marta, Priberam
Local Coordinator: Ana Luisa Nobre Fred

Associated Publications