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A kernel method to extract common features based on mutual information
https://aist.repo.nii.ac.jp/records/2001943
https://aist.repo.nii.ac.jp/records/20019435f174c8f-541d-408d-95bb-c7c691780afe
| Item type | Research Data (v9)(1) | |||||||||||
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| PubDate | 2014-01-01 | |||||||||||
| Data name | ||||||||||||
| Title | A kernel method to extract common features based on mutual information | |||||||||||
| Language | ja | |||||||||||
| Description of data | ||||||||||||
| Description Type | Abstract | |||||||||||
| Description | Kernel canonical correlation analysis aims to extract common features from a pair of multivariate data sets. We propose a kernel method for common feature extraction based on mutual information. | |||||||||||
| Language | ja | |||||||||||
| Author (Creator) name |
荒木 貴光
× 荒木 貴光
× 日野 英逸
× 赤穗 昭太郎
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| Access Rights | ||||||||||||
| Access Rights | open access | |||||||||||
| Access Rights URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
| APC | ||||||||||||
| APC | Not required | |||||||||||
| Rights Holder | ||||||||||||
| Right Holder Name | 荒木 貴光 | |||||||||||
| Language | ja | |||||||||||
| Publisher | ||||||||||||
| Publisher | Springer | |||||||||||
| Language | ja | |||||||||||
| Date | ||||||||||||
| Date | 2014-01-01 | |||||||||||
| Date Type | Issued | |||||||||||
| Language | ||||||||||||
| Language | jpn | |||||||||||
| Resource Type | ||||||||||||
| Resource Type Identifier | http://purl.org/coar/resource_type/c_6501 | |||||||||||
| Resource Type | journal article | |||||||||||
| Identifier | ||||||||||||
| Identifier | 10.1007/978-3-319-12640-1_4 | |||||||||||
| Identifier Type | DOI | |||||||||||
| Relation | ||||||||||||
| Relation Type | isVersionOf | |||||||||||
| Identifier Type | URI | |||||||||||
| Related Identifier | http://link.springer.com/chapter/10.1007/978-3-319-12640-1_4 | |||||||||||
| Language | ja | |||||||||||
| Related Title | 関連 URI | |||||||||||
| Source Title | ||||||||||||
| Source Title | Lecture Notes in Computer Science | |||||||||||
| Language | ja | |||||||||||
