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    Wyświetlanie 1-4 z 4
    Tytuł:
    Surveillance in the liquid modern times
    Inwigilacja w czasach płynnej nowoczesności
    Autorzy:
    Czapnik, Sławomir
    Baraniewicz-Kotasińska, Sabina
    Powiązania:
    https://bibliotekanauki.pl/articles/462415.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Opolski
    Tematy:
    surveillance
    facial recognition
    Facebook
    Google Street View
    liquid modern times
    Opis:
    Surveillance, nowadays especially provided by information and communication technology, is at the core of social control that has been largely commoditised and privatized. Consumer culture gives hope for freedom lives, challenging the social hierarchies that dominated the earlier – in Bauman’s vocabulary, “solid” – phase of modernity. The aim of this paper is to present two of many tools, which are used by biggest IT companies to keep under surveillance the individuals, societies and nations in the Liquid Modern Times. There has been the socio-cultural context of Internet’s development analyzed to find the premises that led to a transformation of cyberspace from a freedom to a surveillance place, and conducted a case study of Facebook’s facial recognition technology and Google Street View practices. Non-reactive research methods have been used in the paper.
    Źródło:
    Studia Krytyczne/ Critical Studies; 2019, 7; 11-23
    2450-9078
    Pojawia się w:
    Studia Krytyczne/ Critical Studies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hybrid end-to-end approach integrating online learning with face-identification system
    Autorzy:
    Nguyene, Dat Van
    Nguyen, Son Trung
    Pham, Thi Hong Anh
    Pham, Van Toan
    Hoang, Thao Thu
    Thanh, Ta Minh
    Powiązania:
    https://bibliotekanauki.pl/articles/27312886.pdf
    Data publikacji:
    2023
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    facial recognition
    visual search engine
    end-to-end applications
    online learning
    ElasticSearch (ES)
    ES
    Opis:
    Facial recognition has been one of the most intriguing and exciting research topics over the last few years. It involves multiple face-based algorithms such asfacial detection, facial alignment, facial representation, and facial recognition. However, all of these algorithms are derived from large deep-learning architectures, leading to limitations in development, scalability, accuracy, and deployment for public use with mere CPU servers. Also, large data sets that contain hundreds of thousands of records are often required for training purposes. In this paper, we propose a complete pipeline for an effective face-recognition application that requires only a small data set of Vietnamese celebrities and a CPU for training, solving the problem of data leakage, and the need for GPU devices. The pipeline is based on the combination of a conversion algorithm from face vectors to string tokens and the indexing & retrieval process by Elasticsearch, thereby tackling the problem of online learning in facial recognition. Compared with other popular algorithms on the same data set, our proposed pipeline not only outperforms the counterpart in terms of accuracy but also delivers faster inference, which is essential to real-time applications.
    Źródło:
    Computer Science; 2023, 24 (1); 141--161
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models
    Autorzy:
    Dijmărescu, Irina
    Iatagan, Mariana
    Hurloiu, Iulian
    Geamănu, Marinela
    Rusescu, Ciprian
    Dijmărescu, Adrian
    Powiązania:
    https://bibliotekanauki.pl/articles/19322524.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    neuromanagement decision making
    facial recognition
    biometric authentication
    mobile payment technology
    retail, restaurant, and hotel business
    Opis:
    Research background: With growing evidence of biometric identification techniques as authentication, there is a pivotal need for comprehending contactless payments by use of facial recognition algorithms in retail, restaurant, and hotel business models. Purpose of the article: In this research, previous findings were cumulated showing that harnessing facial recognition payment applications as software-based contactless biometric algorithms results in remarkably qualitative enhancement in purchasing experience. Methods: Throughout March and November 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms including "facial recognition payment technology", "facial recognition payment system", "facial recognition payment application", "face recognition-based payment service", "facial authentication for mobile payment transactions", and "contactless payment through facial recognition algorithms". As the analyzed research was published between 2017 and 2021, only 187 articles satisfied the eligibility criteria. By removing questionable or unclear findings (limited/nonessential data), results unsubstantiated by replication, too general content, or having quite similar titles, 38, mainly empirical, sources were selected. The Systematic Review Data Repository was harnessed, a software program for the gathering, processing, and analysis of data for our systematic review. The quality of the selected scholarly sources was assessed by employing the Mixed Method Appraisal Tool. Findings & value added: Harnessing facial recognition payment applications as software-based contactless biometric algorithms results in remarkably qualitative enhancement in purchasing experience. Subsequent attention should be directed to whether perceived value and trust shape customers' adoption of biometric recognition payment devices.
    Źródło:
    Oeconomia Copernicana; 2022, 13, 1; 225-250
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Facial Recognition and Posthuman Technologies in Shakespeare’s Sonnets
    Autorzy:
    Darcy, Robert
    Powiązania:
    https://bibliotekanauki.pl/articles/2048116.pdf
    Data publikacji:
    2021-12-30
    Wydawca:
    Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
    Tematy:
    Shakespeare’s sonnets
    facial recognition
    Dark Lady
    fair youth
    Nature
    Time
    posthumanism
    biometrics
    face
    Woody Bledsoe
    Opis:
    The human face, real and imagined, has long figured into various forms of cultural and personal recognition—to include citizenship, in both the modern and the ancient world. But beyond affiliations related to borders and government, the human face has also figured prominently into biometrics that feed posthuman questions and anxieties. For while one requirement of biometrics is concerned with “unicity,” or that which identifies an individual as unique, another requirement is that it identify “universality,” confirming an individual’s membership in the species. Shakespeare’s sonnets grapple with the crisis of encountering a universal beauty in a unique specimen to which Time and Nature nonetheless afford no special privilege. Between fair and dark lies a posthuman lament over the injustice of natural law and the social valorizations arbitrarily marshaled to defend it.
    Źródło:
    Multicultural Shakespeare: Translation, Appropriation and Performance; 2021, 24, 39; 153-167
    2083-8530
    2300-7605
    Pojawia się w:
    Multicultural Shakespeare: Translation, Appropriation and Performance
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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