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2017 International Conference on the Frontiers and Advances in Data Science (FADS)

23-25 Oct. 2017

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Displaying Results 1 - 25 of 46
  • [Front cover]

    Publication Year: 2017, Page(s): 1
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  • [Title page]

    Publication Year: 2017, Page(s): 1
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  • [Copyright notice]

    Publication Year: 2017, Page(s): 1
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  • Sponsors

    Publication Year: 2017, Page(s): 1
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  • Table of contents

    Publication Year: 2017, Page(s):1 - 5
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  • Author index

    Publication Year: 2017, Page(s):1 - 7
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  • A conceptual framework for cloud data governance-driven decision making

    Publication Year: 2017, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (267 KB) | HTML iconHTML

    Data governance has become a significant approach that drives decision making in public organisations. Thus, the loss of data governance is a concern to decision makers, acting as a barrier to achieving their business plans in many countries and also influencing both operational and strategic decisions. The adoption of cloud computing is a recent trend in public sector organisations, that are look... View full abstract»

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  • Dual hybrid manifold regularized non-negative matrix factorization with discriminability for image clustering

    Publication Year: 2017, Page(s):7 - 11
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (302 KB) | HTML iconHTML

    Matrix factorization techniques are wildly used in computer vision and data mining. Among them, Non-negative Matrix Factorization (NMF) has received considerable attention due to its part-based representation and sparsity. Recent research has shown that not only the data points are sampled from data manifold, but also the features are sampled from feature manifold. To exploit the duality between d... View full abstract»

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  • Lung nodule detection based on 3D convolutional neural networks

    Publication Year: 2017, Page(s):7 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (646 KB) | HTML iconHTML

    With the increasing number of lung cancer patients, the CAD system is playing an increasingly important rule in the field of automatic identification for medical images. Since the 3D characteristics of low-dose CT images make the 3D convolution more suitable than 2D convolution, in this paper, we propose a method to detect lung nodule of lung CT images using 3D convolutional neural networks. Combi... View full abstract»

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  • Image super-resolution based on structural dissimilarity learning dictionary

    Publication Year: 2017, Page(s):12 - 17
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4199 KB) | HTML iconHTML

    Image super-resolution based on learning dictionary has recently attracted enormous interests in the field of image super-resolution. In the general, learning dictionary is trained from a large number of training samples. In this paper, we proposed to use the nonlocal self-similarity to filter blocks that are not similar in structure. Based on the judgment method of structural dissimilarity, we ca... View full abstract»

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  • Word mover's distance for affect detection

    Publication Year: 2017, Page(s):18 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (293 KB) | HTML iconHTML

    Emotion detection from text has been an important task in Natural language processing (NLP) for many years. Many approaches were based on the emotional words or lexicon in order to detect emotions. While the word embedding vectors like Word2Vec were successfully employed in many NLP approaches. Also, word mover's distance (WMD) is a method introduced recently to calculate the distance between two ... View full abstract»

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  • From convolutional to recurrent: Case study in Nasopharyngeal Carcinoma segmentation

    Publication Year: 2017, Page(s):18 - 22
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (540 KB) | HTML iconHTML

    Convolutional Neural Network (CNN) is the prevalent framework of image classification, and is also widely used in other image applications including semantic segmentation. Advantages of CNN include hierarchical extraction of patterns, effective training and a small number of parameters. Do they make CNN the ideal candidate for all image processing tasks? In a patch-based semantic image segmentatio... View full abstract»

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  • A hybrid semantic method for enhancing movie recommendations

    Publication Year: 2017, Page(s):23 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (907 KB) | HTML iconHTML

    With the abundance and similarity of data on the World Wide Web (WWW), search and recommendation tasks have become harder jobs. This leads researchers to intensify their efforts to discover new ways for searching and recommendations. One of the most modern methods to enhance the accuracy of search and recommendations is by exploiting semantic information and relations that are included in or have ... View full abstract»

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  • Database of parliamentary speeches in Ireland, 1919–2013

    Publication Year: 2017, Page(s):29 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (475 KB) | HTML iconHTML

    We present a database of parliamentary debates that contains the complete record of parliamentary speeches from Dail Eireann, the lower house and principal chamber of the Irish parliament, from 1919 to 2013. In addition, the database contains background information on all TDs (Teachta Dala, members of parliament), such as their party affiliations, constituencies and office positions. The current v... View full abstract»

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  • Pattern discovery from dynamic data streams using frequent pattern mining with multi-support thresholds

    Publication Year: 2017, Page(s):35 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (374 KB) | HTML iconHTML

    Discover the frequent patterns from streams of data is challenging due to the characteristics of such streams: a continuous unbounded high speed data of evolving nature which must be processed on the fly with bounded computing memory and limited storage capacities. On other hand, the growth of the Internet of Things (IoT) has helped to sense everything around us at home, work and in the streets. T... View full abstract»

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  • spaceTexts: A new corpus of speeches in the UN committee on the peaceful uses of outer space

    Publication Year: 2017, Page(s):41 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB) | HTML iconHTML

    The study of space politics is presently inhibited by a paucity of available data. This paper introduces spaceTexts, a new dataset of speeches in the UN Committee on the Peaceful Uses of Outer Space. These yearly statements in the preeminent forum for space diplomacy shed new light on the positions and preferences of state and nonstate actors on a topic which has received relatively scant politica... View full abstract»

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  • Classifying collaborative approaches for cloud based collaborative software development

    Publication Year: 2017, Page(s):47 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (303 KB) | HTML iconHTML

    Software development is an activity involving a remix set of different people, tools, practice culture, etcetera, and working towards an end goal. Achieving the goal necessitates that all these aspects work together towards the end goal. Furthermore, the size, complexity, longevity and tight delivery timelines of software projects, form part of the rationale for collaboration in software developme... View full abstract»

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  • A judgment framework for roller skating using faster R-CNN

    Publication Year: 2017, Page(s):53 - 57
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (391 KB) | HTML iconHTML

    Intelligent sports game referee is a new research direction in image processing and deep learning field. In this paper, we present an image processing framework for judgment of the speed slalom race in roller skating competition. Firstly, we chose faster R-CNN algorithm to identify targets such as pile and person during the race. Then an image processing framework is designed to process the recogn... View full abstract»

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  • Big data challenges in transportation: A case study of traffic volume count from massive Radio Frequency Identification(RFID) data

    Publication Year: 2017, Page(s):58 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB) | HTML iconHTML

    We are in an advancing stage of data acquisition and an even greater dynamic stage of dealing with big data. Data sizes have evolved over the years from a few kilobytes to Exabyte. The transportation engineer has also been caught up in the big data era and to efficiently analyze this massive data for maximum benefits, various challenges relating to data acquisition, data storage, data cleaning, da... View full abstract»

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  • Automatic focus personage identification in multi-lingual news image

    Publication Year: 2017, Page(s):64 - 69
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4060 KB) | HTML iconHTML

    This paper presents a novel method for automatic focus personage identification in multi-lingual news image. Other existing methods resolved the problem of person recognition in single-lingual news images, but there is no proposed method to handle the problem of multi-lingual character identification. This method incorporates the complementary and commonality information of multi-lingual news to i... View full abstract»

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  • Spontaneous facial expression recognition by heterogeneous convolutional networks

    Publication Year: 2017, Page(s):70 - 73
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (952 KB) | HTML iconHTML

    Spontaneous facial expression achieves much attention recently as it has potential applications in the field of computer vision and pattern recognition. Although the convolutional networks have been applied for recognizing acted facial expressions and obtained the state-of-the-art performance, the performance of recognizing spontaneous facial expressions still needs to be improved. In this paper, ... View full abstract»

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  • Detecting policy preferences and dynamics in the UN general debate with neural word embeddings

    Publication Year: 2017, Page(s):74 - 79
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (816 KB) | HTML iconHTML

    Foreign policy analysis has been struggling to find ways to measure policy preferences and paradigm shifts in international political systems. This paper presents a novel, potential solution to this challenge, through the application of a neural word embedding (Word2vec) model on a dataset featuring speeches by heads of state or government in the United Nations General Debate. The paper provides t... View full abstract»

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  • The potential of conversational agents to provide a rapid HIV counseling and testing services

    Publication Year: 2017, Page(s):80 - 85
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1205 KB) | HTML iconHTML

    In low-and middle-income countries where demand for health services outstrips the available supply of skilled labor, advances in information and communication technologies have already been shown to hold promise. While much of the mHealth literature continues to explore mature technologies such as text message and web portals, continual advancement in machine learning opens innovative new areas of... View full abstract»

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  • A review of bloody violence in video classification

    Publication Year: 2017, Page(s):86 - 91
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (339 KB) | HTML iconHTML

    The bloody violence scene in the video will cause different levels of visual and spiritual impact, affecting the health education of the minor children, so the violent scene detection is important for video scientific management and the minor protection. Since European MediaEval proposed Violent Scene Detection (VSD) competition in 2011, the global research scholars actively involved, put forward ... View full abstract»

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  • DIBR-synthesized image quality assessment based on local entropy analysis

    Publication Year: 2017, Page(s):86 - 90
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6894 KB) | HTML iconHTML

    The perceptual quality of Depth-Image-Based- Rendering (DIBR) synthesized images is essential for threedimensional video applications. However, traditional image quality assessment (IQA) algorithms almost unavailable for DIBR- synthesized images, because the specific types of distortions appeared in DIBR-synthesized images are rarely considered in traditional IQA algorithms. In this paper, a new f... View full abstract»

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