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Computational Intelligence Magazine, IEEE

Issue 1 • Date Feb. 2013

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Displaying Results 1 - 21 of 21
  • [Front Cover]

    Publication Year: 2013 , Page(s): C1
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  • 2014 IEEE World Congress on Computational Intelligence

    Publication Year: 2013 , Page(s): C2
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  • [Table of contents]

    Publication Year: 2013 , Page(s): 1
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  • CIM Editorial Board

    Publication Year: 2013 , Page(s): 2
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  • The "vision" of tomorrow! [Editor's Remarks]

    Publication Year: 2013 , Page(s): 2
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  • Grand challenges of computational intelligence [President's Message]

    Publication Year: 2013 , Page(s): 3
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  • CIS Society Officers

    Publication Year: 2013 , Page(s): 3
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  • IEEE CIS Publications Activities Vision Statement [Society Briefs]

    Publication Year: 2013 , Page(s): 4 - 5
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  • IEEE CIS Education Activities Vision Statement [Society Briefs]

    Publication Year: 2013 , Page(s): 6
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  • Obituary for Evangelia Micheli-Tzanakou ("Litsa") [In Memoriam]

    Publication Year: 2013 , Page(s): 7 - 8
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  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2013 , Page(s): 9 - 11
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  • IEEE Transactions on Autonomous Mental Development Special Issue on Microdynamics in Interaction: Capturing and Modeling Early Social Learning

    Publication Year: 2013 , Page(s): 11
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  • 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (IEEE CISDA 2012) [Conference Report]

    Publication Year: 2013 , Page(s): 12 - 13
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  • Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial]

    Publication Year: 2013 , Page(s): 14 - 15
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  • Image Segmentation Using Extended Topological Active Nets Optimized by Scatter Search

    Publication Year: 2013 , Page(s): 16 - 32
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (5206 KB) |  | HTML iconHTML  

    Image segmentation is the critical task of partitioning an image into multiple objects. Deformable Models are effective tools aimed at performing image segmentation. Among them, Topological Active Nets (TANs), and their extension, ETANs, are models integrating features of region-based and boundary-based segmentation techniques. Since the deformation of the meshes composing these models to fit the ... View full abstract»

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  • Object Detection Using Color Entropies and a Fuzzy Classifier

    Publication Year: 2013 , Page(s): 33 - 45
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4325 KB) |  | HTML iconHTML  

    This paper proposes a novel approach to specific object detection in complex scenes using color-based entropy features and a fuzzy classifier (FC). Appearances of the detected objects are assumed to contain multiple colors in non-homogeneous distributions that make it difficult to detect these objects using shape features. The proposed detection approach consists of two filtering phases with two d... View full abstract»

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  • Understanding of GP-Evolved Motion Detectors

    Publication Year: 2013 , Page(s): 46 - 55
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1917 KB) |  | HTML iconHTML  

    Evolving solutions for machine vision applications has gained more popularity in the recent years. One area is evolving programs by Genetic Programming (GP) for motion detection, which is a fundamental component of most vision systems. Despite the good performance, this approach is not widely accepted by mainstream vision application developers. One of the reasons is that these GP generated progra... View full abstract»

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  • Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes]

    Publication Year: 2013 , Page(s): 56 - 67
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2678 KB) |  | HTML iconHTML  

    The paper investigates the effectiveness of rough sets for video behavior detection. It proposes a new method to make the codebook of the motion frame. It obtains atomic activities via a simple improved topic model. It use a rough sets classifier to classify the behaviors in video, and confirm its performance through experiments. View full abstract»

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  • Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms [Application Notes]

    Publication Year: 2013 , Page(s): 68 - 76
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3312 KB) |  | HTML iconHTML  

    Digital Mammograms are the gold standard for the early detection and diagnosis of breast cancer. Breast cancer is one of the main causes of cancer deaths in women worldwide. One in nine women in Australia will be diagnosed with breast cancer in their lifetime. Women over 50 years of age in particular are encouraged to have screening using digital mammograms so that cancer can be detected at its ea... View full abstract»

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  • Ensemble Methods: Foundations and Algorithms [Book Review]

    Publication Year: 2013 , Page(s): 77 - 79
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  • [Conference Calendar]

    Publication Year: 2013 , Page(s): 80
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Aims & Scope

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS). 

Full Aims & Scope