Referenced Items are not available for this document.
A new method for analyzing the intrinsic dimensionality (ID) of low-dimensional manifolds in high-dimensional feature spaces is presented. Compared to a previous approach by Fukunaga and Olsen (1971), the method has only linear instead of cubic time complexity with respect to the dimensionality of the input space. Moreover, it is less sensitive to noise than the former approach. Experiments include ID estimation of synthetic data for comparison and illustration as well as ID estimation of an image sequence
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:20
,
Issue:
5
)
Date of Publication: May 1998
- Page(s):
- 572 - 575
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 5949136
- Digital Object Identifier :
- 10.1109/34.682189
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1998
- Sponsored by :
- IEEE Computer Society
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