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Probabilistic feature relevance learning for content-based image retrieval

Author
JING PENG1 ; BIR BHANU1 ; SHAN QING1
[1] Center for Research in Intelligent Systems, University of California, Riverside, California 92521, United States
Issue title
Content-Based Access for Image and Video Libraries
Author (monograph)
DEL BIMBO, Alberto (Editor); CASTELLI, Vittorio (Editor); CHANG, Shin-Fu (Editor); LI, Chung-Sheng (Editor)
Source

Computer vision and image understanding (Print). 1999, Vol 75, Num 1-2, pp 150-164 ; ref : 17 ref

CODEN
CVIUF4
ISSN
1077-3142
Scientific domain
Computer science
Publisher
Elsevier, San Diego, CA
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Apprentissage Approche probabiliste Base donnée Estimation Image numérique Performance système Pertinence Plus proche voisin Similitude Current based image retrieval Requête
Keyword (en)
Learning Probabilistic approach Database Estimation Digital image System performance Relevance Nearest neighbour Similarity Query
Keyword (es)
Aprendizaje Enfoque probabilista Base dato Estimación Imagen numérica Eficacia sistema Pertinencia Vecino más cercano Similitud
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
1957471

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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