332 search results - page 12 / 67 » On the Performance of Chernoff-Distance-Based Linear Dimensi... |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
SDM
2012
SIAM
13 years 5 hour ago
2012
SIAM
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
157
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SIGMOD
2006
ACM
15 years 9 months ago
2006
ACM
To enable efficient similarity search in large databases, many indexing techniques use a linear transformation scheme to reduce dimensions and allow fast approximation. In this re...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
80
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IBPRIA
2003
Springer
15 years 2 months ago
2003
Springer
The dimensionality of the input data often far exceeds their intrinsic dimensionality. As a result, it may be difficult to recognize multidimensional data, especially if the number...