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Carlos Laufer

Publications and source records attributed to Carlos Laufer.

5 recordsLinked to original sources
arXiv2020

A Cluster-Matching-Based Method for Video Face Recognition

Face recognition systems are present in many modern solutions and thousands of applications in our daily lives. However, current solutions are not easily scalable, especially when it comes to the addition of new targeted people. We propose a cluster-matching-based approach for face recognition in video. In our approach, we use unsupervised learning to cluster the faces present in both the dataset and targeted videos selected for face recognition. Moreover, we design a cluster matching heuristic to associate clusters in both sets that is also capable of identifying when a face belongs to a non-registered person. Our method has achieved a recall of 99.435% and a precision of 99.131% in the task of video face recognition. Besides performing face recognition, it can also be used to determine the video segments where each person is present.

cs.CV↗
arXiv2019

Trust and Privacy in Knowledge Graphs

This paper presents the KG Usage framework, which allows the introduction of KG features to support Trust, Privacy and Transparency concerns regarding the use of its contents by applications. A real-world example is presented and used to illustrate how the framework can be used.

cs.CY↗
arXiv2018

A Framework to Support the Trust Process in News and Social Media

Current society is heavily influenced by the spread of online information, containing all sorts of claims, commonly found in news stories, tweets, and social media postings. Depending on the user, they may be considered "true" or "false", according to the agent's trust on the claim. In this paper, we discuss the concept of content trust and trust process, and propose a framework to describe the trust process, which can support various possible models of content trust.

cs.SI↗
arXiv2018

Ontologies for Representing Relations among Political Agents

The Internet and the Web are now an integral part of the way most modern societies, and corresponding political systems, work. We regard Political systems as the formal and informal political processes by which decisions are made concerning the use, production and distribution of resources in any given society. Our focus in on the sets of agents - Persons and Organizations - that govern a society, and their relations. We present a set of ontologies aimed at characterizing different kinds of direct and indirect relations that occur within a Political System. The goal is to provide a more semantically precise basis for determining more abstract notions such as "influence". These ontologies are being used for the "Se Liga na Politica" project, whose goal is to provide an open linked data database of Political Agents in Brazil. Whereas they are being used in a particular political system, these ontologies can be applied to different political systems.

cs.CY↗