2960 search results - page 86 / 592 » Learning from Multiple Sources |
95
Voted
PAMI
2008
15 years 2 months ago
2008
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
118
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ICCV
2009
IEEE
15 years 5 days ago
2009
IEEE
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
136
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NIPS
2008
15 years 3 months ago
2008
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
130
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ISDA
2010
IEEE
15 years 10 days ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
121
Voted
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...