1,720,957 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Adaptation à l'inférence de modèle d'apprentissage profond basé sur la mémoire pour la segmentation d'objet en vidéo
No full textThe general objective of the work is to design an augmented reality system to assist a remoteuser in repairing an electronic device. Typically, the expert can highlight certain parts of thedevice on the video transmitted by the user. In this context, Semi-automatic Video ObjectSegmentation (SVOS) seems to be a relevant option, since its goal is to segment a particularobject along a video using a manual segmentation of the first frame. However, state-of-the-artdeep learning based SVOS systems are not specifically adapted to segment specific objects suchas electronic components or parts of electronic devices and therefore need to be adapted tothis specific context. In this work, we propose three contributions to the test-time adaptationof SVOS models. The principle is to fine-tune some selected parts of a modified SVOS modelusing only the first frame and its annotation. By test-time we mean that during inference, a fastvideo-specific adaptation is performed while the video is being processed. A major advantageof this approach is that it does not require fine-tuning of the entire model, nor does it requirenew annotation or the use of the dataset used for the pre-trained model. We evaluate ourcontributions on the standard DAVIS16 and DAVIS17 datasets.L'objectif général de ce travail est de concevoir un système de réalité augmentée pour aider un utilisateur distant à réparer un appareil électronique. Typiquement, l'expert peut mettre en évidence certaines parties de l'appareil sur la vidéo transmise par l'utilisateur. Dans ce contexte, la segmentation semi-automatique d'objets vidéo (SVOS) semble être une option pertinente, puisque son objectif est de segmenter un objet particulier le long d'une vidéo en utilisant une segmentation manuelle de la première image. Cependant, les systèmes SVOS basés sur l'apprentissage profond ne sont pas spécifiquement adaptés à la segmentation d'objets spécifiques tels que les composants électroniques ou les parties d'appareils électroniques et doivent donc être adaptés à ce contexte spécifique. Dans ce travail, nous proposons trois contributions à l'adaptation à l'inférence des modèles SVOS. Le principe est d'affiner certaines parties sélectionnées d'un modèle SVOS modifié en utilisant uniquement la première image et son annotation. Par adaptation à l'inférence, nous entendons que pendant l'inférence, une adaptation rapide spécifique à la vidéo est effectuée pendant le traitement de la vidéo. L'un des principaux avantages de cette approche est qu'elle ne nécessite pas de réglage fin de l'ensemble du modèle, ni de nouvelles annotations ou l'utilisation de l'ensemble de données utilisé pour le modèle pré-entraîné. Nous évaluons nos contributions sur les ensembles de données standard DAVIS16 et DAVIS17
Adaptation à l'inférence de modèle d'apprentissage profond basé sur la mémoire pour la segmentation d'objet en vidéo
No full textThe general objective of the work is to design an augmented reality system to assist a remoteuser in repairing an electronic device. Typically, the expert can highlight certain parts of thedevice on the video transmitted by the user. In this context, Semi-automatic Video ObjectSegmentation (SVOS) seems to be a relevant option, since its goal is to segment a particularobject along a video using a manual segmentation of the first frame. However, state-of-the-artdeep learning based SVOS systems are not specifically adapted to segment specific objects suchas electronic components or parts of electronic devices and therefore need to be adapted tothis specific context. In this work, we propose three contributions to the test-time adaptationof SVOS models. The principle is to fine-tune some selected parts of a modified SVOS modelusing only the first frame and its annotation. By test-time we mean that during inference, a fastvideo-specific adaptation is performed while the video is being processed. A major advantageof this approach is that it does not require fine-tuning of the entire model, nor does it requirenew annotation or the use of the dataset used for the pre-trained model. We evaluate ourcontributions on the standard DAVIS16 and DAVIS17 datasets.L'objectif général de ce travail est de concevoir un système de réalité augmentée pour aider un utilisateur distant à réparer un appareil électronique. Typiquement, l'expert peut mettre en évidence certaines parties de l'appareil sur la vidéo transmise par l'utilisateur. Dans ce contexte, la segmentation semi-automatique d'objets vidéo (SVOS) semble être une option pertinente, puisque son objectif est de segmenter un objet particulier le long d'une vidéo en utilisant une segmentation manuelle de la première image. Cependant, les systèmes SVOS basés sur l'apprentissage profond ne sont pas spécifiquement adaptés à la segmentation d'objets spécifiques tels que les composants électroniques ou les parties d'appareils électroniques et doivent donc être adaptés à ce contexte spécifique. Dans ce travail, nous proposons trois contributions à l'adaptation à l'inférence des modèles SVOS. Le principe est d'affiner certaines parties sélectionnées d'un modèle SVOS modifié en utilisant uniquement la première image et son annotation. Par adaptation à l'inférence, nous entendons que pendant l'inférence, une adaptation rapide spécifique à la vidéo est effectuée pendant le traitement de la vidéo. L'un des principaux avantages de cette approche est qu'elle ne nécessite pas de réglage fin de l'ensemble du modèle, ni de nouvelles annotations ou l'utilisation de l'ensemble de données utilisé pour le modèle pré-entraîné. Nous évaluons nos contributions sur les ensembles de données standard DAVIS16 et DAVIS17
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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