8 citations · 8 across the 4 of their papers we have counts for
7 papers
Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis
Laura M. Montaldo, Ricardo A. Borsoi, Sebastian Miron +1
Modeling shared and subject-specific structure in multisubject spatiotemporal data remains challenging, particularly in neuroimaging, where both spatial and temporal patterns exhib…
On the Performance and Implementation of Parallax free Video See-Through Displays
Ricardo Augusto Borsoi, Guilherme Holsbach Costa
In see-through systems an observer watches a (background) scene partially occluded by a display. In this display, usually positioned close to the observer, a region of the backgrou…
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…
Distributed Riemannian Optimization in Geodesically Non-convex Environments
Xiuheng Wang, Ricardo Borsoi, Cédric Richard +1
This paper studies the problem of distributed Riemannian optimization over a network of agents whose cost functions are geodesically smooth but possibly geodesically non-convex. Ex…
Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks
Haoqing Li, Ricardo Borsoi, Tales Imbiriba +1
Multiresolution image fusion is a key problem for real-time satellite imaging and plays a central role in detecting and monitoring natural phenomena such as floods. It aims to solv…
Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation
Xiuheng Wang, Ricardo Borsoi, Arnaud Breloy +1
Non-parametric change-point detection in streaming time series data is a long-standing challenge in signal processing. Recent advancements in statistics and machine learning have i…