403 search results - page 16 / 81 » Metric and Kernel Learning Using a Linear Transformation |
151
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ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
104
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CIKM
2006
Springer
15 years 5 months ago
2006
Springer
Classification of 3D objects remains an important task in many areas of data management such as engineering, medicine or biology. As a common preprocessing step in current approac...
120
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ML
2007
ACM
15 years 1 months ago
2007
ACM
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
115
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ICRA
2007
IEEE
15 years 8 months ago
2007
IEEE
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
113
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PR
2010
15 years 6 days ago
2010
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...