1,721,042 research outputs found

    Ensemble of both texture and color features for Reliable Person Re-identification

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    Here a set of non trained person re-identification approaches is proposed for obtaining an high performance system, the proposed system has been tested on four datasets (CAVIAR4REID, IAS, BIWI and VIPeR). To reduce the risk of overfitting, for all the methods, the parameters have been kept constant across all datasets. The ensemble proposed in this work is based on different enhancement techniques, colorimetric spaces and state-of-the-art approaches. For the datasets where the depth map is available also a method based on skeleton detection, extracted from the depth map, belongs to the ensemble. In our opinion, the proposed ensemble can be considered a general-purpose person re-identification system since all the parameters are not optimized separately in each dataset but are fixed. The source code used for the approaches tested in this paper will be available at (https://www.dei.unipd.it/node/2357 + Pattern Recognition and Ensemble Classifiers)

    Software Enginering Technique For Modularity Property In Component-Based Software Architecture

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    Robots are widely used in surgical rooms of the main hospitals. The most common surgical robot is the Intuitive "Da Vinci" but other new high-tech devices are spreading to help the surgeons in their medical tasks. Such kind of devices are useful to decrees the surgeons physical and psychological stress and increasing the overall safety. The surgical room is a complex environment with a lot of heterogeneous devices made by dierent producers. Currently the devices work independently but in order to increase the functionalities to give to the users is necessary to think how to connect all of them

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

    Deep Features Combined with Hand-Crafted Features for Face Recognition

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    Most of recent advances in the field of face recognition are related to the use of a convolutional neural network (CNN) and the availability of very large scale training datasets. Unfortunately, large scale public datasets are not available to most of the research community, which therefore can hardly compare with big companies. To overcome this drawback, in this work we suggest to use an already trained CNN and we perform a study in order to evaluate the representation capability of its layers. Most of previous face recognition approaches based on deep learning use a CNN self-trained on a very large training set, taking one on the last intermediate layer as a representation and adding a classification layer trained over a set of known face identities to generalize the recognition capability of the CNN to a set of identities outside the training set. The idea is that the representation capabilities of the last one of two layers of a deep trained CNN is higher than traditional handcrafted features. In this work, starting from a CNN trained for face recognition, we study and compare the representation capability of several different layers in CNNs (not only the last ones) showing that they contain more accurate information about the face image than to believe. The proposed system extracts learned features from different layers of a CNN and uses them as a feature vector for a general purpose classifier. Moreover, we study the independence of the different sets of features used and between learned and handcrafted features, showing that they can be exploited to design an effective ensemble. The proposed approach gains noticeable performance both in the FERET datasets, with the highest performance rates published in the literature, and the Labeled Faces in the Wild (LFW) dataset where it achieves good results. The MATLAB source of our best ensemble approach will be freely available at https://www.dei.unipd.it/node/2357 “+Pattern Recognition and Ensemble Classifiers

    Dispelling the Myths Behind First-author Citation Counts

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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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