IEEE Intelligent Systems

Issue 1 • Jan./Feb. 2018

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Displaying Results 1 - 16 of 16
  • Front Cover

    Publication Year: 2018, Page(s): c1
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  • Membership [Advertisement]

    Publication Year: 2018, Page(s): c2
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  • Masthead 
  • [Masthead]

    Publication Year: 2018, Page(s): 1
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  • Table of Contents 
  • Table of contents

    Publication Year: 2018, Page(s):2 - 3
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  • AI's 10 to Watch 
  • AIs 10 to Watch: The Future of AI

    Publication Year: 2018, Page(s):4 - 17
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  • Feature Articles 
  • Accurate Object Segmentation for Video Sequences via Temporal-Spatial-Frequency Saliency Model

    Publication Year: 2018, Page(s):18 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1066 KB) | HTML iconHTML

    In practical applications of video object segmentation, a major challenge is how to increase the accuracy and robustness of complex dynamic scenes and achieve positive scalability under camera displacement conditions. This paper proposes a novel approach to object segmentation by combining information in temporal, spatial, and frequency domains to realize complementary superiority. Four components... View full abstract»

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  • Two-Stage Road Terrain Identification Approach for Land Vehicles Using Feature-Based and Markov Random Field Algorithm

    Publication Year: 2018, Page(s):29 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (594 KB) | HTML iconHTML

    Road terrain identification is one of the important tasks for driving assistant systems or autonomous land vehicles. It plays a key role in improving driving strategy and enhancing fuel efficiency. In this paper, a two-stage approach using multiple sensors is presented. In the first stage, a feature-based identification approach is performed using an accelerometer, a camera, and downward-looking a... View full abstract»

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  • Long-Term Critical Band Energy-Based Feature Set for Dialect Identification Using a Neuro-Fuzzy Approach

    Publication Year: 2018, Page(s):40 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB) | HTML iconHTML

    Dialects of languages demonstrate dependency on both speaker and sound-unit (phone)-related information, which encompasses the problem of dialect identification (DID) under the domain of language identification (LID). The DID task is more complicated than conventional LID, and it has been established that conventional acoustic features like perceptual linear prediction (PLP) and mel frequency ceps... View full abstract»

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  • Investigative Knowledge Discovery for Combating Illicit Activities

    Publication Year: 2018, Page(s):53 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (611 KB) | HTML iconHTML

    Developing scalable, semi-automatic approaches to derive insights from a domain-specific Web corpus is a longstanding research problem in the knowledge discovery community. The problem is particularly challenging in illicit fields, such as human trafficking, where traditional assumptions concerning information representation are frequently violated. In this article, we describe an end-to-end inves... View full abstract»

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  • Highway Traffic Flow Estimation for Surveillance Scenes Damaged by Rain

    Publication Year: 2018, Page(s):64 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (719 KB) | HTML iconHTML

    In this paper, we propose a traffic flow estimation system for intelligent highway surveillance applications under rainy conditions. Major contributions of the proposed system include flexible feature extraction, robust estimation with adaptive clustering, and effective graph-based traffic flow mapping model. To detect rain-drop tampered scenes, features are extracted via salient region detection ... View full abstract»

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  • Affective Computing and Sentiment Analysis 
  • Instance-based Domain Adaptation via Multiclustering Logistic Approximation

    Publication Year: 2018, Page(s):78 - 88
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (529 KB) | HTML iconHTML

    With the explosive growth of the Internet online texts, we could nowadays easily collect a large amount of labeled training data from different source domains. However, a basic assumption in building statistical machine learning models for sentiment analysis is that the training and test data must be drawn from the same distribution. Directly training a statistical model usually results in poor pe... View full abstract»

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  • Internet of Things 
  • How Will the Internet of Things Enable Augmented Personalized Health?

    Publication Year: 2018, Page(s):89 - 97
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1096 KB) | HTML iconHTML

    The Internet of Things refers to network-enabled technologies, including mobile and wearable devices, which are capable of sensing and actuation as well as interaction and communication with other similar devices over the Internet. The IoT is profoundly redefining the way we create, consume, and share information. Ordinary citizens increasingly use these technologies to track their sleep, food int... View full abstract»

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  • Web Science 
  • Artificial Intelligence, Rationality, and the World Wide Web

    Publication Year: 2018, Page(s):98 - 103
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    Scholars debate whether the arrival of articial super intelligence-a form of intelligence that signicantly exceeds the cognitive performance of humans in most domains- would bring positive or negative consequences. I argue that a third possibility is plausible yet generally overlooked: for several different reasons, an articial superintelligence might choose to exert no appreciable effect on the s... View full abstract»

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  • Jobs Board [Advertisement]

    Publication Year: 2018, Page(s): 104
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  • Computer Society Information

    Publication Year: 2018, Page(s): c3
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  • High Performance Computing Award

    Publication Year: 2018, Page(s): c4
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Aims & Scope

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications.

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Meet Our Editors

Editor-in-Chief
Daniel Zeng
University of Arizona