1,720,958 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
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
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators
No full textWe present incomplete gamma kernels, a generalization of Locally Optimal Projection (LOP) operators. In particular, we reveal the relation of the classical localized L1 estimator, used in the LOP operator for point cloud denoising, to the common Mean Shift framework via a novel kernel. Furthermore, we generalize this result to a whole family of kernels that are built upon the incomplete gamma function and each represents a localized Lp estimator. By deriving various properties of the kernel family concerning distributional, Mean Shift induced, and other aspects such as strict positive definiteness, we obtain a deeper understanding of the operator's projection behavior. From these theoretical insights, we illustrate several applications ranging from an improved Weighted LOP (WLOP) density weighting scheme and a more accurate Continuous LOP (CLOP) kernel approximation to the definition of a novel set of robust loss functions. These incomplete gamma losses include the Gaussian and LOP loss as special cases and can be applied to various tasks including normal filtering. Furthermore, we show that the novel kernels can be included as priors into neural networks. We demonstrate the effects of each application in a range of quantitative and qualitative experiments that highlight the benefits induced by our modifications.Computer Graphics and Visualisatio
Scalable 3D Reconstruction for Immersive Virtual Reality Applications
No full textThe recent advances in Augmented Reality (AR) and Virtual Reality (VR) technology and their growing popularity in the past years has significantly influenced emerging trends towards more intuitive and user-centric applications that are accessible to a large community. Sharing immersive experiences is the central challenge here and requires the accurate presentation of virtual content to the user which not only depends on several technical aspects of the respective display devices but also on the visualized scene elements. However, many applications are particularly designed for immediate scenarios which cannot entirely rely on pre-generated content and, thereby, require on-the-fly acquisition of the unknown surrounding scene environment in an efficient and progressive way.
In this thesis, we developed and investigated techniques for real-time reconstruction of 3D scene geometry and appearance with a specific focus on practical methods and systems that could be used in AR and VR scenarios. To this end, we present several contributions which can be categorized into three major areas of these systems. First, we studied the L1-based Locally Optimal Projection (LOP) operator in the context of data prefiltering and introduced a family of generalized operators in which each element corresponds to a localized Lp estimator. Furthermore, we revealed their close relation to the Mean Shift framework and derived various theoretical properties of the respective kernels and, in turn, the projection operator. We applied the gained insights to define an improved density weighting scheme, a more accurate kernel approximation for the continuous projection operator, as well as a set of robust loss functions which correspond to the kernels. Secondly, we developed a practical multi-client live telepresence system which enables streaming live-captured 3D scene data to remotely connected users who can independently explore and interact with the scene. We introduced a bandwidth-efficient volumetric data structure based on Marching Cubes indices as well as fast GPU hash data structures to efficiently maintain and progressively stream the reconstructed model with only moderate network requirements. In subsequent work, we further improved the overall performance and scalability of our telepresence system by introducing several algorithmic improvements to the reconstruction component. Thirdly, we investigated a segmentation-based approach for estimating appearance information in terms of the spatially-varying surface albedo from RGB-D and additional infrared (IR) input data. In addition to an improved formulation of the coupling between the color and infrared channels, we also incorporated temporal information from previous frames to accelerate the Total Variation-based optimization process
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
- …
