1,721,811 research outputs found
La dehesa vista como paisaje cultural. Fisonomías, funcionalidades y dinámicas históricas
Ministerio de Ciencia e Innovación CSO2009-12225-C05-0
Optics and Photonics for Information Processing XVI
This paper presents the implementation of a driving assistance algorithm based on semantic segmentation. The proposed implementation uses a convolutional neural network architecture known as U-Net to perform the image segmentation of traffic scenes taken by the self-driving car during the navigation, the segmented image gives to every pixel a specific class. The driving assistance algorithm uses the data retrieved from the semantic segmentation to perform an evaluation of the environment and provide the results to the self-driving car to help it make a decision. The evaluation of the algorithm is based on the frequency of the pixels of each class, and on an equation that calculates the importance weight of a pixel with its own specific position and its respective class. Experimental results are presented to evaluate the feasibility of the proposed implementation.SPIE. DIGITAL LIBRARYhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/12225/2634076/Driving-assistance-algorithm-for-self-driving-cars-based-on-semantic/10.1117/12.2634076.short?SSO=
SPIE. Digital Library
Proc. SPIE 12225, Optics and Photonics for Information Processing XVI, 122250FThis paper presents the implementation of a convolutional neural network employing two different malware datasets. These datasets are converted to images, processed, and resized to 64x64. Through image processing, the convolutional neural network can accurately classify the types of malware families in the datasets. Experimental results to validate the analysis and implementation are provided; they were specifically made to show the proposal’s effectiveness and efficiency. RESUMEN Este documento presenta la implementación de una red neuronal convolucional que emplea dos conjuntos de datos de malware diferentes. Estos conjuntos de datos se convierten en imágenes, se procesan y se redimensionan a 64x64. A través del procesamiento de imágenes, la red neuronal convolucional puede clasificar con precisión los tipos de familias de malware en los conjuntos de datos. Se proporcionan resultados experimentales para validar el análisis y la implementación; se hicieron específicamente para mostrar la eficacia y eficiencia de la propuesta.https://doi.org/10.1117/12.263313
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
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