Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Valdeira, Filipa"'
With the increase in the number of active satellites and space debris in orbit, the problem of initial orbit determination (IOD) becomes increasingly important, demanding a high accuracy. Over the years, different approaches have been presented such
Externí odkaz:
http://arxiv.org/abs/2407.15180
Due to the importance of satellites for society and the exponential increase in the number of objects in orbit, it is important to accurately determine the state (e.g., position and velocity) of these Resident Space Objects (RSOs) at any time and in
Externí odkaz:
http://arxiv.org/abs/2312.13318
Recommendation Systems (RS) are often used to address the issue of medical doctor referrals. However, these systems require access to patient feedback and medical records, which may not always be available in real-world scenarios. Our research focuse
Externí odkaz:
http://arxiv.org/abs/2308.11022
Localization is a fundamental enabler technology for many applications, like vehicular networks, IoT, and even medicine. While Global Navigation Satellite Systems solutions offer great performance, they are unavailable in scenarios like indoor or und
Externí odkaz:
http://arxiv.org/abs/2304.05988
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 proven powerful tool, as they provide a unified setting for shape modelling
Externí odkaz:
http://arxiv.org/abs/2203.14113
Autor:
Valdeira, Filipa, Soares, Cláudia
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 a measure of confidence on each comparison. The problem of ranking a
Externí odkaz:
http://arxiv.org/abs/2202.01670
Given the severe impact of COVID-19 on several societal levels, it is of crucial importance to model the impact of restriction measures on the pandemic evolution, so that governments are able to take informed decisions. Even though there have been co
Externí odkaz:
http://arxiv.org/abs/2202.01198
Publikováno v:
IEEE Signal Processing Letters 27 (2020): 670-674
Hybrid localization in GNSS-challenged environments using measured ranges and angles is becoming increasingly popular, in particular with the advent of multimodal communication systems. Here, we address the hybrid network localization problem using r
Externí odkaz:
http://arxiv.org/abs/2110.03523
Publikováno v:
In Signal Processing August 2024 221
Publikováno v:
IEEE Access 9 (2021) 127720-127734
Ears are a particularly difficult region of the human face to model, not only due to the non-rigid deformations existing between shapes but also to the challenges in processing the retrieved data. The first step towards obtaining a good model is to h
Externí odkaz:
http://arxiv.org/abs/2008.09831