We propose a new parallel learning algorithm of latent local support vector machines (SVM),
called latent‐lSVM for effectively classifying very high‐dimensional and large‐scale multi …

We propose a new learning algorithm of latent local support vector machines (SVM), called
Latent-lSVM for effectively classifying very-high-dimensional and large-scale multiclass …

We are interested in the intensive use of Factorial Correspondence Analysis (FCA) for large-
scale content-based image retrieval. Factorial Correspondence Analysis, is a useful method …

In this paper, we investigate the intensive use of Correspondence Analysis (CA) for large
scale content-based image retrieval. Correspondence Analysis is a useful method for …

In this paper, we investigate the intensive use of Factorial Correspondence Analysis (FCA)
for large scale content-based image retrieval. Factorial Correspondence Analysis is a useful …

Nous nous intéressons à l'utilisation de l'Analyse Factorielle des Correspondances (AFC)
pour la recherche d'images par le contenu dans une base de données d'images …

We are concerned by the use of Factorial Correspondence Analysis (FCA) for image
retrieval. FCA is designed for analysing contingency tables. In Textual Data Analysis (TDA) …