Multiple rank multi-linear SVM for matrix data classification
- Autor
- CHENPING HOU1 ; FEIPING NIE2 ; CHANGSHUI ZHANG3 ; DONGYUN YI1 ; YI WU1
[1] Department of Mathematics and Systems Science, National University of Defense Technology, Changsha 410073, China
[2] Department of Computer Science and Engineering, University of Texas, Arlington 76019, United States
[3] Department of Automation, Tsinghua University, Beijing 100084, China - Fuente
Pattern recognition. 2014, Vol 47, Num 1, pp 454-469, 16 p ; ref : 34 ref
- CODEN
- PTNRA8
- ISSN
- 0031-3203
- Campo Científico
- Computer science; Telecommunications
- Editor
- Elsevier, Kidlington
- País de la publicación
- United Kingdom
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- Generalization Learning capacity Matrix data classification Pattern recognition STM SVM
- Palabra clave (fr)
- Apprentissage Classification automatique Classification signal Complexité calcul Evaluation performance Intelligence artificielle Machine vecteur support Méthode tensorielle Méthode vectorielle Programmation non convexe Précision Reconnaissance forme
- Palabra clave (in)
- Learning Automatic classification Signal classification Computational complexity Performance evaluation Artificial intelligence Support vector machine Tensor method Vector method Non convex programming Accuracy Pattern recognition
- Palabra clave (es)
- Aprendizaje Clasificación automática Complejidad computación Evaluación prestación Inteligencia artificial Máquina vector soporte Método tensorial Método vectorial Programación no convexa Precisión Reconocimiento patrón
- Clasificación
- 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
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05A Pattern recognition
- Disciplina
- Telecommunications and information theory
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 27805451
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.2013.07.002 
https://dx.doi.org/10.1016/j.patcog.2013.07.002
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