A unified framework for semi-supervised dimensionality reduction
- Author
- YANGQIU SONG1 ; FEIPING NIE1 ; CHANGSHUI ZHANG1 ; SHIMING XIANG1
[1] State Key Laboratory on Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, China - Source
Pattern recognition. 2008, Vol 41, Num 9, pp 2789-2799, 11 p ; ref : 27 ref
- CODEN
- PTNRA8
- ISSN
- 0031-3203
- Scientific domain
- Computer science; Telecommunications
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Dimensionality reduction; Discriminant analysis Manifold analysis; Semi-supervised learning
- Keyword (fr)
- Algorithme Analyse composante principale Analyse discriminante Apprentissage supervisé Classification non supervisée Classification signal Méthode noyau Méthode statistique Précision
- Keyword (en)
- Algorithm Principal component analysis Discriminant analysis Supervised learning Unsupervised classification Signal classification Kernel method Statistical method Accuracy
- Keyword (es)
- Algoritmo Análisis componente principal Análisis discriminante Aprendizaje supervisado Clasificación no supervisada Método núcleo Método estadístico Precisión
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20443394
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.patcog.2008.01.001 
https://dx.doi.org/10.1016/j.patcog.2008.01.001
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