1,721,040 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
3D face reconstruction from RGB-D data by morphable model to point cloud dense fitting
No full text3D cameras for face capturing are quite common today thanks to their ease of use and affordable cost. The depth information they provide is mainly used to enhance face pose estimation and tracking, and face-background segmentation, while applications that require finer face details are usually not possible due to the low-resolution data acquired by such devices. In this paper, we propose a framework that allows us to derive high-quality 3D models of the face starting from corresponding low-resolution depth sequences acquired with a depth camera. To this end, we start by defining a solution that exploits temporal redundancy in a short-sequence of adjacent depth frames to remove most of the acquisition noise and produce an aggregated point cloud output with intermediate level details. Then, using a 3DMM specifically designed to support local and expression-related deformations of the face, we propose a two-steps 3DMM fitting solution: initially the model is deformed under the effect of landmarks correspondences; subsequently, it is iteratively refined using points closeness updating guided by a mean-square optimization. Preliminary results show that the proposed solution is able to derive 3D models of the face with high visual quality; quantitative results also evidence the superiority of our approach with respect to methods that use one step fitting based on landmarks
Changes in GAD67 and peptides mRNA levels in specific populations of striatal efferent neurons following priming with dopamine agonists in 6-OHDA lesioned rats
No full textMeasuring 3D face deformations from RGB images of expression rehabilitation exercises
No full textBackground: The accurate (quantitative) analysis of face deformations in 3D is a problem of increasing interest for the many applications it may have. In particular, defining a 3D model of the face that can deform to a 2D target image, while capturing local and asymmetric deformations is still a challenge in the existing literature. Computing a measure of such local deformations may represent a relevant index for monitoring rehabilitation exercises that are used in Parkinson's and Alzheimer's disease or in recovering from a stroke. Methods: In this study, we present a complete framework that allows the construction of a 3D Morphable Shape Model (3DMM) of the face and its fitting to a target RGB image. The model has the specific characteristic of being based on localized components of deformation; the fitting transformation is performed from 3D to 2D and is guided by the correspondence between landmarks detected in the target image and landmarks manually annotated on the average 3DMM. The fitting has also the peculiarity of being performed in two steps, disentangling face deformations that are due to the identity of the target subject from those induced by facial actions. Results: In the experimental validation of the method, we used the MICC-3D dataset that includes 11 subjects each acquired in one neutral pose plus 18 facial actions that deform the face in localized and asymmetric ways. For each acquisition, we fit the 3DMM to an RGB frame with an apex facial action and to the neutral frame, and computed the extent of the deformation. Results indicated that the proposed approach can accurately capture the face deformation even for localized and asymmetric ones. Conclusions: The proposed framework proved the idea of measuring the deformations of a reconstructed 3D face model to monitor the facial actions performed in response to a set of target ones. Interestingly, these results were obtained just using RGB targets without the need for 3D scans captured with costly devices. This opens the way to the use of the proposed tool for remote medical monitoring of rehabilitation
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