1,720,981 research outputs found

    SupportHDC: Hyperdimensional Computing with Scalable Hypervector Sparsity

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    The authors thank Lars Keuninckx for useful discussions. This research received funding from the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme and the European Union's ECSEL Joint Undertaking under grant agreement no 826655 - project TEMPO

    ConvSNN: A surrogate gradient spiking neural framework for radar gesture recognition

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    sponsorship: The authors thank Andre Bourdoux, Ilja Ocket, Federico Corradi and Lars Keuninckx for the discussions and guidance, and the Flanders AI research program for partially supporting this work. (Flanders AI research program)status: Publishe

    Event Camera Data Classification Using Spiking Networks with Spike-Timing-Dependent Plasticity

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    sponsorship: We would like to thank Dr. Lars Keuninckx for the helpful discussion. The research leading to these results has received funding from the Flemish Government (AI Research Program) and the European Union's ECSEL Joint Undertaking under grant agreement n degrees 826655 -project TEMPO. (Flemish Government (AI Research Program), European Union's ECSEL Joint Undertaking|826655)status: Publishe

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Neuromorphic Near-Sensor Computing: From Event-Based Sensing to Edge Learning

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    sponsorship: The authors would like to thank Yuming He for kindly lending the diagrams in Figure 3, as well as Lars Keuninckx and Ilja Ocket for useful discussions. This research received funding from the Flemish Government under the "Onderzoeksprogramma Artifici_ele Intelligentie (AI) Vlaanderen" program, the INTUITIVE-EU Horizon 2020 project under Grant 861166 and the KUL internal grant "Time is money." (Flemish Government, INTUITIVE-EU Horizon 2020 project|861166, KUL internal grant "Time is money")status: Publishe
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