| Acronym: LearningS |
| Main Objective: The main objectives of this project are fourfold: 1. To advance on state-of-the-art approaches on unsupervised and semi-supervised learning, with emphasis on cluster ensemble methods; 2. To expand these pattern recognition methods to the analysis and modeling of sequence data, corresponding either to sequences of symbols, such as in text, or sequential data in which observations are ordered in time, namely time series; 3. To foster fast implementation of application scenarios of proposed techniques by developing a web-based graphical interface and algorithms toolbox; 4. To address practical real world problems, by applying the developed methodology and algorithms to automatic analysis of bio-signals and textual data. |
| Reference: PTDC/EEI-SII/2312/2012 |
| Funding: FCT/PTDC |
| Start Date: 01-03-2013 |
| End Date: 01-03-2015 |
| Team: Ana Luisa Nobre Fred, Mario Alexandre Teles de Figueiredo |
| Groups: Pattern and Image Analysis – Lx |
| Partners: Cruz Vermelha Portuguesa |
| Local Coordinator: Ana Luisa Nobre Fred |
| Links: Internal Page |
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Associated Publications
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