Acronym: SSL-AMDMR |
Main Objective: The focus are statistical and structural learning techniques. Exploratory analysis (mining) and content-based retrieval of multimedia data serve both as a practically relevant application domain, and as a source of challenging problems. The Goals to be pursued: - new unsupervised learning criteria (i.e., simultaneous feature and model selection); - unsupervised learning methods under a model-based framework and/or new clustering criteria; - new dissimilarity measures, adequate for various types of representation (strings, quantitative, and hybrid), typically found in multimedia; - combination of different types of representation in a coherent framework for similarity computation; comparison and blending of different clustering techniques / criteria into a workable methodology; - efficiency and scalability of learning algorithms. |
Reference: POSI/33143/SRI/2000 |
Funding: FCT/POSI |
Start Date: 01-01-2001 |
End Date: 31-12-2004 |
Team: Mario Alexandre Teles de Figueiredo, Ana Luisa Nobre Fred |
Groups: Pattern and Image Analysis – Lx |
Partners: |
Local Coordinator: Mario Alexandre Teles de Figueiredo |
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Associated Publications
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