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  1. Proceedings of the 2nd international workshop on Computer vision meets databases (CVDB '05)
  2. Data embedding techniques and applications
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Data embedding techniques and applications

Content Provider ACM Digital Library
Author Yang, Li
Abstract As an effective way for dimensionality reduction, data embedding has direct applications in data mining, data indexing and searching, information retrieval, and multimedia data processing. As two representative techniques for data embedding, both Isomap and LLE require the construction of neighborhood graphs on which every point is connected to its neighbors. This paper reviews several techniques that have been developed to construct connected neighborhood graphs. These methods have made Isomap and LLE applicable to a wide range of data including under-sampled data and non-uniformly distributed data. Application-related issues of data embedding techniques are also discussed.
Starting Page 29
Ending Page 33
Page Count 5
File Format PDF
ISBN 1595931511
DOI 10.1145/1160939.1160948
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-06-17
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Dimensionlaity reduction Data embedding Manifold learning Neighborhood graph
Content Type Text
Resource Type Article
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