1,720,991 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
Sensor Fusion Combining 3-D and 2-D for Depth Data Enhancement
Full text linkTime-of-Flight (ToF) cameras are known to be cost-efficient 3-D sensing systems capable of providing full scene depth information at a high frame rate. Among many other advantages, ToF cameras are able to provide distance information regardless of the illumination conditions and with no texture dependency, which makes them very suitable for computer vision and robotic applications where reliable distance measurements are required. However, the resolution of the given depth maps is far below the resolution given by standard 2-D video cameras which, indeed, restricts the use of ToF cameras in real applications such as those for safety and surveillance. In this thesis, we therefore investigate how to enhance the resolution of ToF data and how to reduce the noise level within distance measurements. To that end, we propose to combine 2-D and ToF data using a low-level data fusion approach that enhances the low-resolution depth maps up to the same resolution as their corresponding 2-D images
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
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
FULL 3D RECONSTRUCTION OF DYNAMIC NON-RIGID SCENES: ACQUISITION AND ENHANCEMENT
Full text linkRecent advances in commodity depth or 3D sensing technologies have enabled us to move
closer to the goal of accurately sensing and modeling the 3D representations of complex
dynamic scenes. Indeed, in domains such as virtual reality, security, surveillance and
e-health, there is now a greater demand for aff ordable and flexible vision systems which
are capable of acquiring high quality 3D reconstructions. Available commodity RGB-D
cameras, though easily accessible, have limited fi eld-of-view, and acquire noisy and low-resolution measurements which restricts their direct usage in building such vision systems.
This thesis targets these limitations and builds approaches around commodity 3D
sensing technologies to acquire noise-free and feature preserving full 3D reconstructions
of dynamic scenes containing, static or moving, rigid or non-rigid objects. A mono-view
system based on a single RGB-D camera is incapable of acquiring full 360 degrees 3D reconstruction of a dynamic scene instantaneously. For this purpose, a multi-view system
composed of several RGB-D cameras covering the whole scene is used. In the first part of
this thesis, the domain of correctly aligning the information acquired from RGB-D cameras
in a multi-view system to provide full and textured 3D reconstructions of dynamic
scenes, instantaneously, is explored. This is achieved by solving the extrinsic calibration
problem. This thesis proposes an extrinsic calibration framework which uses the 2D
photometric and 3D geometric information, acquired with RGB-D cameras, according
to their relative (in)accuracies, a ffected by the presence of noise, in a single weighted
bi-objective optimization. An iterative scheme is also proposed, which estimates the parameters
of noise model aff ecting both 2D and 3D measurements, and solves the extrinsic
calibration problem simultaneously. Results show improvement in calibration accuracy
as compared to state-of-art methods. In the second part of this thesis, the domain
of enhancement of noisy and low-resolution 3D data acquired with commodity RGB-D
cameras in both mono-view and multi-view systems is explored. This thesis extends
the state-of-art in mono-view template-free recursive 3D data enhancement which targets
dynamic scenes containing rigid-objects, and thus requires tracking only the global
motions of those objects for view-dependent surface representation and fi ltering. This
thesis proposes to target dynamic scenes containing non-rigid objects which introduces
the complex requirements of tracking relatively large local motions and maintaining data
organization for view-dependent surface representation. The proposed method is shown
to be e ffective in handling non-rigid objects of changing topologies. Building upon the
previous work, this thesis overcomes the requirement of data organization by proposing
an approach based on view-independent surface representation. View-independence
decreases the complexity of the proposed algorithm and allows it the flexibility to process
and enhance noisy data, acquired with multiple cameras in a multi-view system,
simultaneously. Moreover, qualitative and quantitative experimental analysis shows this
method to be more accurate in removing noise to produce enhanced 3D reconstructions
of non-rigid objects. Although, extending this method to a multi-view system would
allow for obtaining instantaneous enhanced full 360 degrees 3D reconstructions of non-rigid
objects, it still lacks the ability to explicitly handle low-resolution data. Therefore, this
thesis proposes a novel recursive dynamic multi-frame 3D super-resolution algorithm
together with a novel 3D bilateral total variation regularization to filter out the noise,
recover details and enhance the resolution of data acquired from commodity cameras in
a multi-view system. Results show that this method is able to build accurate, smooth
and feature preserving full 360 degrees 3D reconstructions of the dynamic scenes containing
non-rigid objects
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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