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Multiple feature kernel hashing for large-scale visual search

Autor
XIANGLONG LIU1 ; JUNFENG HE2 3 ; BO LANG1
[1] State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China
[2] Department of Electrical Engineering, Columbia University, New York, NY 10027, United States
[3] Facebook, 1601 Willow Rd, Menlo Park, CA 94025, United States
Fuente

Pattern recognition. 2014, Vol 47, Num 2, pp 748-757, 10 p ; ref : 39 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
Compact hashing Locality-sensitive hashing Multiple features Multiple kernels
Palabra clave (fr)
Classification automatique Classification non supervisée Classification signal Etat actuel Evaluation performance Hachage Méthode noyau Optimisation Performance algorithme Précision Recherche image Recherche visuelle Similitude Recherche information
Palabra clave (in)
Automatic classification Unsupervised classification Signal classification State of the art Performance evaluation Hashing Kernel method Optimization Algorithm performance Accuracy Image retrieval Visual search Similarity Information retrieval
Palabra clave (es)
Clasificación automática Clasificación no supervisada Estado actual Evaluación prestación Hashing Método núcleo Optimización Resultado algoritmo Precisión Exploración visual Similitud Búsqueda información
Clasificación
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A03 Information theory

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 / 001D04A05C Image processing

Disciplina
Telecommunications and information theory
Procedencia
Inist-CNRS
Base de datos
PASCAL
Identificador INIST
27917730

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