Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
- Author
- FERGUS, R1 ; PERONA, P2 ; ZISSERMAN, A1
[1] Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom
[2] Department of Electrical Engineering, California Institute of Technology, MC 136-93, Pasadena, CA 91125, United States - Source
International journal of computer vision. 2007, Vol 71, Num 3, pp 273-303, 31 p ; ref : 1 p
- ISSN
- 0920-5691
- Scientific domain
- Computer science
- Publisher
- Springer, Heidelberg
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Author keyword
- constellation model object recognition parts and structure model semi-supervised learning
- Keyword (fr)
- Algorithme apprentissage Alignement Animal Apprentissage supervisé Approche probabiliste Automobile Fouillis écho Invariant Localisation Loi échelle Modèle réduit Modélisation Occlusion Occultation Reconnaissance forme Reconnaissance objet Traitement image Vision ordinateur
- Keyword (en)
- Learning algorithm Alignment Animal Supervised learning Probabilistic approach Motor car Clutter Invariant Localization Scaling law Scale model Modeling Occlusion Occultation Pattern recognition Object recognition Image processing Computer vision
- Keyword (es)
- Algoritmo aprendizaje Alineamiento Animal Aprendizaje supervisado Enfoque probabilista Automóvil Confusión eco Invariante Localización Ley escala Modelo reducido Modelización Oclusión Ocultación Reconocimiento patrón Procesamiento imagen Visión ordenador
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20306634
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
10.1007/s11263-006-8707-x 
https://dx.doi.org/10.1007/s11263-006-8707-x
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