activity
20122023
most citedSimple and fast convex relaxation method for cooperative localization in sensor networks using range measurements

90 citations · 135 across the 24 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

math.OC2021

COSMIC: fast closed-form identification from large-scale data for LTV systems

Maria Carvalho, Claudia Soares, Pedro Lourenço +1

We introduce a closed-form method for identification of discrete-time linear time-variant systems from data, formulating the learning problem as a regularized least squares problem…

cs.LG2021

Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data

Marta Guimaraes, Claudia Soares, Rodrigo Ventura

Predicting if passengers in a connecting flight will lose their connection is paramount for airline profitability. We present novel machine learning-based decision support models f…

cs.GR2021

Clustering of the Blendshape Facial Model

Stevo Racković, Cláudia Soares, Dušan Jakovetić +2

Digital human animation relies on high-quality 3D models of the human face -- rigs. A face rig must be accurate and, at the same time, fast to compute. One of the most common riggi…

eess.SP2021★ 6 cited

Range and Bearing Data Fusion for Precise Convex Network Localization

Claudia Soares, Filipa Valdeira, Joao Gomes

Hybrid localization in GNSS-challenged environments using measured ranges and angles is becoming increasingly popular, in particular with the advent of multimodal communication sys…

math.OC2021★ 3 cited

Robust Localization with Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations

João Domingos, Cláudia Soares, João Xavier

Locating a target is key in many applications, namely in high-stakes real-world scenarios, like detecting humans or obstacles in vehicular networks. In scenarios where precise stat…

math.OC2021★ 14 cited

STRONG: Synchronous and asynchronous RObust Network localization, under Non-Gaussian noise

Claudia Soares, João Gomes

Real-world network applications must cope with failing nodes, malicious attacks, or nodes facing corrupted data - data classified as outliers. Our work addresses these concerns in…

cs.LG2021★ 1 cited

Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach

Stevo Rackovic, Claudia Soares, Dusan Jakovetic +1

Digital human animation relies on high-quality 3D models of the human face: rigs. A face rig must be accurate and, at the same time, fast to compute. One of the most common rigging…

astro-ph.IM2021

Conjunction Data Messages behave as a Poisson Process

Francisco Caldas, Claudia Soares, Cláudia Nunes +3

Space debris is a major problem in space exploration. International bodies continuously monitor a large database of orbiting objects and emit warnings in the form of conjunction da…