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IEEE Computational Intelligence Magazine

Issue 2 • Date May 2007

 This issue contains several parts.Go to:  Part Supplement 

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  • Front cover - IEEE Computational Intelligence Magazine

    Publication Year: 2007, Page(s): c1
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  • Table of contents - May 2007 Vol 2 No 2

    Publication Year: 2007, Page(s): 1
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  • Editor's remarks - We need you...

    Publication Year: 2007, Page(s): 2
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  • President's message - Serving your needs...

    Publication Year: 2007, Page(s):3 - 4
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  • Technology review - Biometrics-Technology, Application, Challenge, and Computational Intelligence Solutions

    Publication Year: 2007, Page(s):5 - 25
    Cited by:  Papers (14)  |  Patents (1)
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  • Application notes - Algorithms for Assessing the Quality of Facial Images

    Publication Year: 2007, Page(s):10 - 17
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1382 KB) | HTML iconHTML

    In this paper, we presented algorithms to assess the quality of facial images affected by factors such as blurriness, lighting conditions, head pose variations, and facial expressions. We developed face recognition prediction functions for images affected by blurriness, lighting conditions, and head pose variations based upon the eigenface technique. We also developed a classifier for images affec... View full abstract»

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  • Off-line Signature Verification Using an Enhanced Modified Direction Feature with Single and Multi-classifier Approaches

    Publication Year: 2007, Page(s):18 - 25
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2040 KB) | HTML iconHTML

    The principal objective of this paper was to investigate the efficiency of the enhanced version of the MDF feature extractor for signature verification. Investigations adding new feature values to MDF were performed, assessing the impact on the verification rate of the signatures, using six-fold cross validation. Two different neural classifiers were used and two methodologies for verification wer... View full abstract»

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  • Computational Intelligence-Based Biometric Technologies

    Publication Year: 2007, Page(s):26 - 36
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2708 KB) | HTML iconHTML

    Computational intelligence (CI) technologies are robust, can be successfully applied to complex problems, are efficiently adaptive, and usually have a parallel computational architecture. For those reasons they have been proved to be effective and efficient in bio-metric feature extraction and biometric matching tasks, sometimes used in combination with traditional methods. In this article, we bri... View full abstract»

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  • A pso-based mobile robot for odor source localization in dynamic advection-diffusion with obstacles environment: theory, simulation and measurement

    Publication Year: 2007, Page(s):37 - 51
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2783 KB) | HTML iconHTML

    This paper provides a combination of chemotaxic and anemotaxic modeling, known as odor-gated rheotaxis (OGR), to solve real-world odor source localization problems. Throughout the history of trying to mathematically localize an odor source, two common biometric approaches have been used. The first approach, chemotaxis, describes how particles flow according to local concentration gradients within ... View full abstract»

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  • Robust Speaker Identification and Verification

    Publication Year: 2007, Page(s):52 - 59
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1513 KB) | HTML iconHTML

    Acoustic characteristics have played an essential role in biometrics. In this article, we introduce a robust, text-independent speaker identification/verification system. This system is mainly based on a subspace-based enhancement technique and probabilistic support vector machines (SVMs). First, a perceptual filterbank is created from a psycho-acoustic model into which the subspace-based enhancem... View full abstract»

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  • Developmental Tools - Synthetic Biometrics

    Publication Year: 2007, Page(s):60 - 69
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1504 KB) | HTML iconHTML

    In this paper, we draw an analogy to a field which has a great deal in common with computer vision. This field is that of biometric technologies, which attempt to generate computer models of humans' appearance or behavior with a view to reliable personal identification. Computer graphics, in its turn, can be likened to biometric synthesis - rendering biometric phenomena from their corresponding co... View full abstract»

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  • Evolutionary Robotics: From Algorithms to Implementations (Wang, L. et al.; 2006) [Book Review]

    Publication Year: 2007, Page(s):70 - 71
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  • Society Briefs - Bioinformatics and Bioengineering Technical Committee

    Publication Year: 2007, Page(s):72 - 73
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  • Computational Finance and Economics Technical Committee

    Publication Year: 2007, Page(s): 73
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  • Data Mining Technical Committee

    Publication Year: 2007, Page(s): 74
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  • Games Technical Committee

    Publication Year: 2007, Page(s):74 - 76
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  • Intelligent Systems Applications Technical Committee

    Publication Year: 2007, Page(s):76 - 79
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  • Newly Elected AdCom Members

    Publication Year: 2007, Page(s):79 - 81
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  • Family Corner - Chile Chapter

    Publication Year: 2007, Page(s):82 - 84
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  • Call for Papers - WCCI 2008

    Publication Year: 2007, Page(s): 83
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  • Conference Calendar

    Publication Year: 2007, Page(s): 86
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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