HAL - INRIA :: [hal-00203721, version 1] Latent mixture vocabularies for object categorization

hal-00203721, version 1

Latent mixture vocabularies for object categorization

The 17th British Machine Vision Conference (BVMC '06) 3 (2006) 959-968

Abstract: The visual vocabulary is an intermediate level representation which has been proven to be very powerful for addressing object categorization problems. It is generally built by vector quantizing a set of local image descriptors, independently of the object model used for categorizing images.

1: LEAR (IMAG-INRIA Rhône-Alpes / GRAVIR)
CNRS : FR71 – CNRS : UMR5527 – INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)

hal-00203721, version 1
http://hal.archives-ouvertes.fr/hal-00203721
oai:hal.archives-ouvertes.fr:hal-00203721
From: Véronique Rocher <>
Submitted on: Friday, 18 January 2008 10:56:43
Updated on: Wednesday, 14 March 2012 11:03:40

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