1,721,063 research outputs found
Scale Space and Variational Methods in Computer Vision
No full textPreface
Image processing, computation, robot and machine vision are terms that refer to automatic visual perception through intelligent processing of image content.
Such a demand requires the development of appropriate mathematical models which reformulate the answer to the perception problem as the lowest potential of a specifically designed objective function. The development of such models
capable of reproducing human vision is a long shot objective in the domain.
Variational methods are a very popular selection to address a number of components of visual perception, while scale space methods introduce the notion of hierarchical representation of image content, or property often present in biological autonomous perception organisms.
The First International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007) was an attempt to bring together two different communities with adjacent research interests, the one of scale-space analysis and the one of variational, geometric and level set (VLSM). Such a conference was a
joint edition of the 4th VLSM and 6th Scale Space with aim to bring together various disciplines working in the area of visual perception (mathematicians,
physicists, computer science, computational science, etc.). It gathered the attention of an important international scientific crowd with submissions and presentations from approximately twenty countries (Austria, Australia, Belgium,Canada, Switzerland, China, Germany, Denmark, Spain, France, Greece, Honk
Kong, Israel, India, Ireland, Italy, Japan, Korea, Mexico, The Netherlands, Norway, Poland, Sweden, Turkey, England, USA) from the leading scientists from the domain.
We received 133 high-quality full paper double-blind submissions. Each paper was reviewed by at least three members of the Program Committee. These reviews were considered from the Area Chairs who finally proposed 79 to be accepted. We selected 24 manuscripts for an oral presentation and 55 for poster
presentation. Both oral and poster papers attributed the same length of pages in the conference proceedings.
Furthermore we invited keynote speakers who can provide valuable additional inspirations beyond the mainstream topics in scale-space analysis and variational methods. It was our pleaser to welcome Prof. Franco Brezzi of University of Pavia, Institute for Advanced Study and IMATI-CNR (Italy), Prof. Emmanuel Candes of California Institute of Technology, (USA) and Prof. Peter Schroder of California Institute of Technology, (USA) as keynote speakers.
We would like to thank the authors for their contributions, and the members of the Program Committee for their time and valuable comments during the review process. We would like also to acknowledge the support of Christian Trocchi, Daniela Casaburi and Livia Marcellino for their help with the web-site and organization. Last but not least special thanks to Francesca Incensi for handling the submission/review/decisions and proceedings aspects of the conference. Finally we are grateful to the University of Bologna, the University of Naples Federico II, GNCS-INDAM, CINECA Bologna and CIRAM (Research Centre of Applied Mathematics) Bologna for their sponsorship.
It is our belief that this conference will become a reference in the domain, and will contribute on the development of new ideas in the area of visual perception through processing images with mathematical models.
May-June 2007, Fiorella Sgallari , Almerico Murli, Nikos Paragio
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
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
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