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» Learning with the Set Covering Machine
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CVPR
2010
IEEE
14 years 7 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
IJCNN
2007
IEEE
14 years 5 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...
ECTEL
2007
Springer
14 years 5 months ago
Organizational Management of e-Learning in Universities - Significant Issues
Educational technology in higher education has not managed to match the ubiquity of technology in everyday life. Is this because higher education institutions are inherently resis...
Su White
ICASSP
2010
IEEE
13 years 11 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
JMLR
2006
123views more  JMLR 2006»
13 years 10 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu