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108
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JCP
2007
92views more  JCP 2007»
15 years 2 months ago
Lifelong Learning, Empirical Modelling and the Promises of Constructivism
—Educational technology is seen as key for lifelong learning, but it has yet to live up to expectation. We argue that current learning environments are typically oriented too muc...
Meurig Beynon, Antony Harfield
141
Voted
ECCV
2010
Springer
15 years 5 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
IVC
2008
101views more  IVC 2008»
15 years 2 months ago
Occlusion analysis: Learning and utilising depth maps in object tracking
Complex scenes such as underground stations and malls are composed of static occlusion structures such as walls, entrances, columns, turnstiles and barriers. Unless this occlusion...
Darrel Greenhill, John-Paul Renno, James Orwell, G...
102
Voted
ICML
2005
IEEE
16 years 3 months ago
Multi-class protein fold recognition using adaptive codes
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...
Eugene Ie, Jason Weston, William Stafford Noble, C...
126
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ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 1 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales