1313 search results - page 86 / 263 » Dimensionality Reduction for Classification |
136
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ICDE
2007
IEEE
15 years 9 months ago
2007
IEEE
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
136
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EMNLP
2009
15 years 1 months ago
2009
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
136
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CVPR
2008
IEEE
16 years 5 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...
114
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
121
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IBPRIA
2003
Springer
15 years 8 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...