Search Results for author: Pedro Martins

Found 10 papers, 2 papers with code

ESSYS* Sharing #UC: An Emotion-driven Audiovisual Installation

no code implementations7 Sep 2022 Sérgio M. Rebelo, Mariana Seiça, Pedro Martins, João Bicker, Penousal Machado

We present ESSYS* Sharing #UC, an audiovisual installation artwork that reflects upon the emotional context related to the university and the city of Coimbra, based on the data shared about them on Twitter.

Optimal Decision Diagrams for Classification

no code implementations28 May 2022 Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal

Decision diagrams for classification have some notable advantages over decision trees, as their internal connections can be determined at training time and their width is not bound to grow exponentially with their depth.

Classification Fairness

Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm

1 code implementation Scientific Reports 2022 Mauro Pinto, Tiago Coelho, Adriana Leal, Fábio Lopes, António Dourado, Pedro Martins, César Teixeira

We also compared our results with a control method based on the standard machine learning pipeline (pre-processing, feature extraction, classifier training, and post-processing), where the control marginally outperformed our approach by validating 35% of the patients.

EEG Seizure prediction

Launchers and Targets in Social Networks

no code implementations27 Jan 2021 Pedro Martins, Filipa Alarcão Martins

On a different direction, using the second index, the strong target members should characterize relevant consumers of information in the network, which may include fake news' regular collectors.

Social and Information Networks 68R10, 90B18

Fast Training of Pose Detectors in the Fourier Domain

no code implementations NeurIPS 2014 João F. Henriques, Pedro Martins, Rui F. Caseiro, Jorge Batista

In many datasets, the samples are related by a known image transformation, such as rotation, or a repeatable non-rigid deformation.

Pose Estimation

High-Speed Tracking with Kernelized Correlation Filters

9 code implementations30 Apr 2014 João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista

Interestingly, for linear regression our formulation is equivalent to a correlation filter, used by some of the fastest competitive trackers.

Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem

no code implementations CVPR 2013 Rui Caseiro, Pedro Martins, Joao F. Henriques, Fatima Silva Leite, Jorge Batista

In the past few years there has been a growing interest on geometric frameworks to learn supervised classification models on Riemannian manifolds [31, 27].

Classification General Classification +1

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