52 citations · 170 across the 22 of their papers we have counts for
4 papers · 1 filter
Learning grounded word meaning representations on similarity graphs
Mariella Dimiccoli, Herwig Wendt, Pau Batlle
This paper introduces a novel approach to learn visually grounded meaning representations of words as low-dimensional node embeddings on an underlying graph hierarchy. The lower le…
Graph Constrained Data Representation Learning for Human Motion Segmentation
Mariella Dimiccoli, Lluís Garrido, Guillem Rodriguez-Corominas +1
Recently, transfer subspace learning based approaches have shown to be a valid alternative to unsupervised subspace clustering and temporal data clustering for human motion segment…
Wavelet eigenvalue regression in high dimensions
Patrice Abry, B. Cooper Boniece, Gustavo Didier +1
In this paper, we construct the wavelet eigenvalue regression methodology in high dimensions. We assume that possibly non-Gaussian, finite-variance -variate measurements are mad…
On high-dimensional wavelet eigenanalysis
Patrice Abry, B. Cooper Boniece, Gustavo Didier +1
In this paper, we characterize the asymptotic and large scale behavior of the eigenvalues of wavelet random matrices in high dimensions. We assume that possibly non-Gaussian, finit…