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102
Voted
CVPR
2010
IEEE
15 years 1 months ago
Boosting for transfer learning with multiple sources
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
Yi Yao, Gianfranco Doretto
76
Voted
ICML
1991
IEEE
15 years 4 months ago
Using Inverse Resolution to Learn Relations from Experiments
David Humme, Claude Sammut
71
Voted
IFIP
1994
Springer
15 years 5 months ago
E-mail as an Enabling Technology in Brazil: The CNPq/ProTeM-CC Experience
Development of a research project in Computer Science, integrating a considerable number of research institutions and about 1200 individual researchers all over a country with big...
José Palazzo M. de Oliveira, Norberto Hoppe...
104
Voted
CVPR
2007
IEEE
16 years 3 months ago
Learning Visual Representations using Images with Captions
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
Ariadna Quattoni, Michael Collins, Trevor Darrell
139
Voted
ECTEL
2006
Springer
15 years 4 months ago
Virtual Action Learning: Experiences from a Study of an SME e-Learning Programme
This paper presents the findings from a project investigating management development for SME managers using an action learning programme, combining both face-to-face workshops and ...
Jean-Anne Stewart, Gillian Alexander