7 citations · 12 across the 4 of their papers we have counts for
4 papers
Group-invariant Coresets for Data-efficient Active Learning
L. C. Ayres, J. C. M. Bermudez, S. J. M. de Almeida +1
Active learning reduces labeling cost by querying the most informative unlabeled samples, but standard coreset methods ignore known data symmetries and can waste budget on transfor…
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
Luciano Carvalho Ayres, Sérgio José Melo de Almeida, José Carlos Moreira Bermudez +1
Hyperspectral image (HI) analysis approaches have recently become increasingly complex and sophisticated. Recently, the combination of spectral-spatial information and superpixel t…
A Generalized Multiscale Bundle-Based Hyperspectral Sparse Unmixing Algorithm
Luciano Carvalho Ayres, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez +1
In hyperspectral sparse unmixing, a successful approach employs spectral bundles to address the variability of the endmembers in the spatial domain. However, the regularization pen…
Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing
L. C. Ayres, S. J. M. de Almeida, J. C. M. Bermudez +1
Several approaches have been proposed to solve the spectral unmixing problem in hyperspectral image analysis. Among them the use of sparse regression techniques aims to characteriz…