Multidimensional Harmonic Retrieval Based on Vandermonde Tensor Train

Several approaches to cluster functional connectivity have been proposed, using various techniques: community detection [15] to discriminate FC characterizing different states of

Figure 10: F reduction for all sparsity configurations using SN-Tucker.. Figure 14: patient 1) : (top) activation profile of HOsSVD (variable V of algorithm 2 (bottom) Cluster of

Nous avons utilisé la diffraction des rayons X pour la caractérisation structurale et la microscopie électronique à balayage (MEB) pour la caractérisation morphologique

A travers ce chapitre nous avons présenté la nouvelle unité de production qui est composée de trois ateliers de production, deux blocs administratifs et un hangar de stockage.

DIMENSIONALITY REDUCTION OF VISUAL FEATURES USING SPARSE PROJECTORS FOR CONTENT-BASED IMAGE RETRIEVAL1. Romain Negrel ⋆ David Picard ⋆ Philippe-Henri Gosselin

However our work results in two main conclusions: 1/ based on post-evaluation approach, we found that retrieving model is the most influential parameter for easy queries

Besides, the objective of this paper is the automatic classification of the input image in a database image , so the determination of the number of k classes, and

This aspect of representation has led me to question the substance of architectural images, their functions and the use of traditional notation systems specific