88 search results - page 8 / 18 » Constraint Projections for Ensemble Learning |
110
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
125
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CIVR
2008
Springer
15 years 1 months ago
2008
Springer
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
ETS
2000
IEEE
14 years 11 months ago
2000
IEEE
A significant opportunity presented by the availability of high-speed network access in the classroom is the ability to collaborate with remote students and mentors. To be success...
KI
2009
Springer
15 years 6 months ago
2009
Springer
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
103
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...