90 citations · 135 across the 24 of their papers we have counts for
5 papers · 1 filter
ISEE.U: Distributed online active target localization with unpredictable targets
Miguel Vasques, Claudia Soares, João Gomes
This paper addresses target localization with an online active learning algorithm defined by distributed, simple and fast computations at each node, with no parameters to tune and…
A Majorization-Minimization Based Method for Nonconvex Inverse Rig Problems in Facial Animation: Algorithm Derivation
Stevo Racković, Cláudia Soares, Dušan Jakovetić +1
Automated methods for facial animation are a necessary tool in the modern industry since the standard blendshape head models consist of hundreds of controllers and a manual approac…
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti +1
We propose a shape fitting/registration method based on a Gaussian Processes formulation, suitable for shapes with extensive regions of missing data. Gaussian Processes are a prove…
Ranking with Confidence for Large Scale Comparison Data
Filipa Valdeira, Cláudia Soares
In this work, we leverage a generative data model considering comparison noise to develop a fast, precise, and informative ranking algorithm from pairwise comparisons that produces…
Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features
Pedro Valdeira, Cláudia Soares, João Xavier
Expectation Maximization (EM) is the standard method to learn Gaussian mixtures. Yet its classic, centralized form is often infeasible, due to privacy concerns and computational an…