403 search results - page 48 / 81 » Metric and Kernel Learning Using a Linear Transformation |
110
Voted
CORR
2010
Springer
15 years 1 months ago
2010
Springer
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
126
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CORR
2008
Springer
15 years 1 months ago
2008
Springer
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
166
Voted
HASKELL
2006
ACM
15 years 7 months ago
2006
ACM
Many numerical algorithms are specified in terms of operations on vectors and matrices. Matrix operations can be executed extremely efficiently using specialized linear algebra k...
108
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ICPR
2006
IEEE
15 years 8 months ago
2006
IEEE
One successful approach to feature extraction in face recognition problems is that of linear discriminant analysis (LDA). We examine an extension of this technique, called angular...
133
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ICML
1996
IEEE
16 years 2 months ago
1996
IEEE
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...