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09/07/2021
Learning grounded word meaning representations on similarity graphs
This paper introduces a novel approach to learn visually grounded meanin...
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08/09/2021
Wavelet eigenvalue regression in high dimensions
In this paper, we construct the wavelet eigenvalue regression methodolog...
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07/28/2021
Graph Constrained Data Representation Learning for Human Motion Segmentation
Recently, transfer subspace learning based approaches have shown to be a...
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02/10/2021
On high-dimensional wavelet eigenanalysis
In this paper, we mathematically construct wavelet eigenanalysis in high...
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10/08/2019
Learning event representations in image sequences by dynamic graph embedding
Recently, self-supervised learning has proved to be effective to learn r...
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11/06/2018
A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning
Nonnegative matrix factorization (NMF) is a popular method for audio spe...
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08/27/2016
Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising
Piecewise constant denoising can be solved either by deterministic optim...
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04/22/2015
Combining local regularity estimation and total variation optimization for scale-free texture segmentation
Texture segmentation constitutes a standard image processing task, cruci...
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10/17/2014
