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» On the Complexity of Function Learning
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ECAI
2004
Springer
15 years 6 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
CVPR
2012
IEEE
13 years 2 months ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller
ICANN
2007
Springer
15 years 6 months ago
Incremental One-Class Learning with Bounded Computational Complexity
Rowland R. Sillito, Robert B. Fisher
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ICEIS
2006
IEEE
15 years 6 months ago
Supporting Complex Collaborative Learning Activities - The Libresource Approach
Olivera Marjanovic, Hala Skaf-Molli, Pascal Molli,...