Xie et al., 2016 - Google Patents
Cross-modal self-taught hashing for large-scale image retrievalXie et al., 2016
View PDF- Document ID
- 7934586708172148039
- Author
- Xie L
- Zhu L
- Pan P
- Lu Y
- Publication year
- Publication venue
- Signal Processing
External Links
Snippet
Cross-modal hashing integrates the advantages of traditional cross-modal retrieval and hashing, it can solve large-scale cross-modal retrieval effectively and efficiently. However, existing cross-modal hashing methods rely on either labeled training data, or lack semantic …
- 239000011159 matrix material 0 abstract description 28
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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