3984 search results - page 522 / 797 » A Model-Driven Transformation Method |
156
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IJCAI
2007
15 years 8 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
184
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NIPS
2008
15 years 8 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
179
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NIPS
2008
15 years 8 months ago
2008
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
187
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NIPS
2008
15 years 8 months ago
2008
ROC curves are one of the most widely used displays to evaluate performance of scoring functions. In the paper, we propose a statistical method for directly optimizing the ROC cur...
144
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MVA
2007
15 years 8 months ago
2007
There are numerous cadastral maps generated by past land surveying. For effective and efficient use of these maps, we have to assemble the set of maps to make them superimposable ...