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IEEE Intelligent Systems

Issue 2 • Mar.-Apr. 2016

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Displaying Results 1 - 19 of 19
  • Front Cover 
  • Front Cover

    Publication Year: 2016, Page(s): c1
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  • Rock Stars of Risk-Based Security

    Publication Year: 2016, Page(s): c2
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  • Table of Contents 
  • Table of Contents

    Publication Year: 2016, Page(s):1 - 2
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  • In Memoriam 
  • Marvin Minsky, 9 August 1927-24 January 2016

    Publication Year: 2016, Page(s):3 - 5
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  • Guest Editors' Introduction 
  • Pattern Recognition, Part 1 [Guest editors' introduction]

    Publication Year: 2016, Page(s):6 - 8
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  • Pattern Recognition, Part 1 
  • Cognitive Mechanisms Underlying the Classification of Reduced Dimensionality, Information Rich Image Representations

    Publication Year: 2016, Page(s):9 - 20
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5392 KB) | HTML iconHTML

    Both humans and computers exhibit significantly higher accuracy in natural scene classification when images are represented in a reduced dimensionality, information rich (RDIR) format compared to a blurred and downsampled (DS) format. RDIR representations are generated by processing the original image with an algorithm that captures prominent orientation information in the scene, inspired by the w... View full abstract»

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  • A Stochastic Approach for Finding Optimal Context in a Contextual Pattern Analysis Task

    Publication Year: 2016, Page(s):21 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1027 KB) | HTML iconHTML

    This article concerns contextual pattern analysis tasks. As different contexts give different performances, models for finding the optimal context are revisited here. Random field models for the input data are assumed. An underlying random field is represented by a set of parameters capturing the spatial dependence. Next, a Bayesian approach is revisited to develop a decision rule for choosing app... View full abstract»

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  • Abnormal Event Detection via Compact Low-Rank Sparse Learning

    Publication Year: 2016, Page(s):29 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1189 KB) | HTML iconHTML

    Sparsity-based methods have been recently applied to abnormal event detection, and have achieved impressive results. However, most such methods fail to consider the relationship among coefficient vectors; furthermore, they neglect the underlying "dictionary structure."' The authors' compact low-rank sparse representation (CLSR) method overcomes these drawbacks. Specifically, it adds compact regula... View full abstract»

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  • Churn Prediction in Customer Relationship Management via GMDH-Based Multiple Classifiers Ensemble

    Publication Year: 2016, Page(s):37 - 44
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (985 KB) | HTML iconHTML

    Customer churn prediction is an important problem in customer relationship management. Experimental results from a novel multiple classifiers ensemble selection model based on the group method of data handling (GMDH) are encouraging. View full abstract»

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  • DeepWriterID: An End-to-End Online Text-Independent Writer Identification System

    Publication Year: 2016, Page(s):45 - 53
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3340 KB) | HTML iconHTML

    The rapid adoption of touchscreen mobile terminals and pen-based interfaces has increased the demand for handwriting-based writer identification systems, particularly in the areas personal authentication and digital forensics. However, most writer identification systems yield poor performance because of insufficient data and an inability to handle the various conditions inherent in handwriting sam... View full abstract»

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  • Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers Inference

    Publication Year: 2016, Page(s):54 - 65
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (9003 KB) | HTML iconHTML

    A depth-ordering reasoning approach first provides novel occlusion edge detection, generating precise same-layer relationship judgment and producing reliable region proposals for the depth-ordering inference. Specifically, a novel sparsity-induced regression model learns a discriminative feature subspace. In addition, kernel ridge regression assigns the occlusion label for each edge. The kernel tr... View full abstract»

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  • Brain MRI Tumor Segmentation with 3D Intracranial Structure Deformation Features

    Publication Year: 2016, Page(s):66 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6122 KB) | HTML iconHTML

    Extraction of relevant features is of significant importance for brain tumor segmentation systems. To improve brain tumor segmentation accuracy, the authors present an improved feature extraction component that takes advantage of the correlation between intracranial structure deformation and the compression resulting from brain tumor growth. Using 3D nonrigid registration and deformation modeling ... View full abstract»

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  • Trends & Controversies 
  • Uncovering and Predicting Human Behaviors

    Publication Year: 2016, Page(s):77 - 88
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1999 KB) | HTML iconHTML

    This installment of Trends & Controversies provides an array of perspectives on the latest research in modeling user behavior. Peng Cui, Huan Liu, Charu Aggarwal, and Fei Wang introduce the field in "Uncovering and Predicting Human Behaviors." The essays included are "Computational Modeling of Complex User Behaviors: Challenges and Opportunities," by Peng Cui, Huan Liu, Charu Aggarwal, and Fei Wan... View full abstract»

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  • Human-Centered Computing 
  • Using Knowledge Libraries to Transfer Expert Knowledge

    Publication Year: 2016, Page(s):89 - 93
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1293 KB) | HTML iconHTML

    This essay hearkens to the origins of IEEE Intelligent Systems in the era of "expert systems," and it revisits a recurring theme of using intelligent systems technology to help preserve and share individual and corporate expertise. The article recounts the experiences of a director of research at Procter & Gamble, who encountered issues of knowledge management. Using intelligent systems, a methodo... View full abstract»

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  • Expert Opinion 
  • UT Austin Villa: Project-Driven Research in AI and Robotics

    Publication Year: 2016, Page(s):94 - 101
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1625 KB) | HTML iconHTML

    UT Austin Villa is a robot soccer team that has competed in the annual RoboCup soccer competitions since 2003. The team has won several championships and has inspired research contributions spanning many topics in robotics and artificial intelligence. This article summarizes some of these research contributions and provides a snapshot into the current development status of the team. Educational us... View full abstract»

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  • Affective Computing and Sentiment Analysis 
  • Affective Computing and Sentiment Analysis

    Publication Year: 2016, Page(s):102 - 107
    Cited by:  Papers (42)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1306 KB) | HTML iconHTML

    Understanding emotions is an important aspect of personal development and growth, and as such it is a key tile for the emulation of human intelligence. Besides being important for the advancement of AI, emotion processing is also important for the closely related task of polarity detection. The opportunity to automatically capture the general public's sentiments about social events, political move... View full abstract»

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  • Internet of Things 
  • Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing

    Publication Year: 2016, Page(s):108 - 112
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB) | HTML iconHTML

    Rapid growth in the Internet of Things (IoT) has resulted in a massive growth of data generated by these devices and sensors put on the Internet. Physical-cyber-social (PCS) big data consist of this IoT data, complemented by relevant Web-based and social data of various modalities. Smart data is about exploiting this PCS big data to get deep insights and make it actionable, and making it possible ... View full abstract»

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  • Get the Recognition You Deserve

    Publication Year: 2016, Page(s): c3
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  • IEEE Computer Society

    Publication Year: 2016, 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