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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
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
Opérateurs LoG temps-réel pour la détection de texte
No full textLa détection de texte dans des images de scène naturelle est un problème clé dans les domaines du traitement d'image et de la reconnaissance de forme. Les systèmes et algorithmes de détection doivent tout d'abord gérer la typologie des caractères ainsi que leur déformation. Cependant, il faut aussi considérer la dimension temps-réel des traitements qui vise à respecter une date butoir. Le composant clé de tout système de traitement d'image temps-réel est l'opérateur local. Ce dernier permet de détecter des éléments d'intérêt dans les images à un très bas cout algorithmique tout en respectant des temps de traitement quasi-constant. Dans cette thèse, nous intéressons en particulier à l'opérateur Laplacien de Gaussienne avec une implémentation temps-réel. Ce dernier est désigné comme l'opérateur RT-LoG dans la littérature. Deux parties sont discutées dans la thèse. La première partie I de la thèse introduit les opérateurs dérivatifs, ou linéaires, connus pour leur très faible coût algorithmique. La contrainte temps-réel implique une reformulation complète des opérateurs. Les opérateurs doivent être aussi adaptés au problème de détection de texte. Pour ce faire, la solution majoritairement mise en œuvre dans la littérature est de modéliser les opérateurs à partir d'une fonction de Laplacien de Gaussienne. L'opérateur est finalement rendu invariant au travers de sa représentation en échelle. La partie II de la thèse présente une évaluation de performance de l'opérateur RT-LoG pour la détection de texte. L'opérateur apparait comme le plus rapide des opérateurs robustes de la littérature. Il garantit une approximation quasi-exacte de l'opérateur LoG. Il reste cependant, tout comme l'opérateur LoG, sensible aux variations de contraste. Il permet d'atteindre des performances de 20 FPS sur des vidéos en haute résolution à partir d'un CPU en architecture standard. Finalement, l'opérateur fournit en sortie des caractéristiques permettant d'apprécier l'échelle et le contraste des éléments d'intérêt détectés dans l'image. Un système deux-temps est ensuite proposé. Ce système se base sur une méthode optimisée de regroupement de points d'intérêt dédiée à l'opérateur RT-LoG. Cette méthode de regroupement hérite par extension des propriétés de l'opérateur RT-LoG. Elle est quasi invariante à l'échelle et au contraste. Un réseau neuronal convolutif est utilisé en dernière brique pour la vérification du texte. Le système proposé est compétitif avec les systèmes les plus robustes de la littérature tout en requérant une architecture matérielle 10 à 100 fois moins performante. En dernière contribution, une nouvel opérateur RT-LoG optimisé est proposé. Cet opérateur RT-LoG utilise une approche en deux temps pour la sélection des filtres de convolution dans le domaine spatial et en échelle. Il se présente comme l'opérateur temps-réel le plus performant de la littérature pour la détection de texte sous contraintes de précision et de temps de traitement. Il est en moyenne trois fois plus rapide que l'opérateur RT-LoG de base. Il atteint des performances de 30 FPS sur des vidéos en quatre fois haute résolution à partir d'un CPU en architecture standard. Une fois intégré au sein du système deux-temps, l'opérateur RT-LoG optimisé garantit des performances de détection quasi non altérées et un facteur d'accélération de deux du système.Scene text detection in natural images is an active topic in the image processing and pattern recognition fields. The fundamental and earliest problem investigated in the literature is to make the scene text detection systems robust against variabilities and deformations of text entities in images. However, another core problem is to adapt the systems to be real-time. The key objective of a real-time processing is to respect a deadline, which describes a maximum time among execution times for a given task. A core component of real-time systems is the local operator. In this PhD, we have particularly considered the Laplacian of Gaussian (LoG) operator with a real-time implementation. We call this operator RT-LoG for short. Two main parts are investigated and discussed in the PhD. The part I of this PhD introduces the local derivative operators (or linear operators) known for their little computational cost in the literature. The real-time constraint involves a complete reformulation of these operators for optimization. The operators for the real-time and robust scene text detection are presented then. As a general trend, the dominant solution within the operators is to apply a LoG-based function. Adaptation to the scene text detection problem is obtained through the control of the scale-space representation. The part II of this PhD presents first a performance characterization of the RT-LoG operator for scene text detection. As the results, the RT-LoG operator appears as the fastest of the top accurate operators. It results in a near exact approximation of the LoG operator but remains sensitive to illumination change. It processes at approximately 20 FPS at the Full-HD resolution on a regular CPU architecture with a low-level latency. In addition, the operator results in applicable features such as the scale-space and contrast information. Next, a new two-stage system embedding the RT-LoG operator is proposed. A dedicated and optimized grouping method is defined using the spatial/scale space representation of the RT-LoG operator. This method is near scale and contrast invariant and processes with normalization. A CNN is used in the final stage for text verification. The proposed system is competitive with the top accurate systems in the literature while requiring less than two orders of magnitude for the processing resources. As the second contribution, a novel fast RT-LoG operator is introduced. This operator applies a two-step process for box selection within the spatial and spatial/scale-space domains. It appears as the top operator for scene text detection with a balanced performance between accuracy and processing time. The fast RT-LoG operator is three times faster than the brute-force operator as an average. It processes at approximately 30 FPS at the Quad-HD resolution on a regular CPU architecture with a low-level latency. When embedded in a two stage system, the fast RT-LoG operator guarantees near-equivalent detection performances compared to a brute-force implementation with a near 2 acceleration factor
Analyse des documents graphiques : une approche par reconstruction d'objets
No full textROUEN-BU Sciences Madrillet (765752101) / SudocSudocFranceF
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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