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IEEE Computational Intelligence Magazine

Issue 3 • Aug. 2015

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Displaying Results 1 - 20 of 20
  • [Front cover]

    Publication Year: 2015, Page(s): C1
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  • IEEE WCCI 2016

    Publication Year: 2015, Page(s): C2
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  • Table of contents

    Publication Year: 2015, Page(s): 1
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  • CIM Editorial Board

    Publication Year: 2015, Page(s): 2
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  • WCCI 2006 and WCCI 2016 in Vancouver [Editor's Remarks]

    Publication Year: 2015, Page(s): 2
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  • 2016 IEEE Symposium Series on Computational Intelligence

    Publication Year: 2015, Page(s): 3
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  • 50th Anniversary of Fuzzy Logic [President's Message]

    Publication Year: 2015, Page(s): 4
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  • CIS Society Officers

    Publication Year: 2015, Page(s): 4
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  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2015, Page(s):5 - 7
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  • Call for Papers for Journal Special Issues

    Publication Year: 2015, Page(s): 7
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  • New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]

    Publication Year: 2015, Page(s): 8
    Cited by:  Papers (2)
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  • IEEE CIG 2015

    Publication Year: 2015, Page(s): 9
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  • An Effective Missing-Data Estimation Approach for Small-Size Image Sequences

    Publication Year: 2015, Page(s):10 - 18
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2860 KB) | HTML iconHTML

    Missing data is a frequently encountered problem for structure-from-motion (SFM) where the 3D structure of an object is estimated based on 2D images. In this paper, an effective approach is proposed to deal with the missing-data estimation problem for small-size image sequences. In the proposed method, a set of sub-sequences is first extracted. Each sub-sequence is composed of the frame to be esti... View full abstract»

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  • Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery

    Publication Year: 2015, Page(s):19 - 29
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1915 KB) | HTML iconHTML

    Machine learning methods are becoming more and more popular in the field of computer-aided drug design. The specific data characteristic, including sparse, binary representation as well as noisy, imbalanced datasets, presents a challenging binary classification problem. Currently, two of the most successful models in such tasks are the Support Vector Machine (SVM) and Random Forest (RF). In this p... View full abstract»

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  • Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space

    Publication Year: 2015, Page(s):30 - 41
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1755 KB) | HTML iconHTML

    Random Projection (RP) is a popular technique for dimensionality reduction because of its high computational efficiency. However, RP may not yield highly discriminative low-dimensional space to produce best pattern classification performance since the random transformation matrix of RP is independent of data. In this paper, we propose a Semi-Random Projection (SRP) framework, which takes the merit... View full abstract»

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  • Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications

    Publication Year: 2015, Page(s):42 - 51
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2103 KB) | HTML iconHTML

    This paper describes the recognition of image patterns based on novel representation learning techniques by considering higher-level (meta-)representations of numerical data in a mathematical lattice. In particular, the interest here focuses on lattices of (Type-1) Intervals' Numbers (INs), where an IN represents a distribution of image features including orthogonal moments. A neural classifier, n... View full abstract»

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  • ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier]

    Publication Year: 2015, Page(s):52 - 60
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2266 KB) | HTML iconHTML

    This article introduces a new supervised classification method - the extended nearest neighbor (ENN) - that predicts input patterns according to the maximum gain of intra-class coherence. Unlike the classic k-nearest neighbor (KNN) method, in which only the nearest neighbors of a test sample are used to estimate a group membership, the ENN method makes a prediction in a "two-way communication" sty... View full abstract»

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  • IEEE SSCI 2015

    Publication Year: 2015, Page(s): 61
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  • Predictive Cloud Computing with Big Data: Professional Golf and Tennis Forecasting [Application Notes]

    Publication Year: 2015, Page(s):62 - 76
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3938 KB) | HTML iconHTML

    Major Golf and Grand Slam Tennis tournaments such as Australian Open, The Masters, Roland Garros, United States Golf Association (USGA), Wimbledon, and United States Tennis Association (USTA) United States (US) Open provide real-time and historical sporting information to immerse a global fan base in the action. Each tournament provides realtime content, including streaming video, game statistics,... View full abstract»

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  • [Conference Calendar]

    Publication Year: 2015, Page(s): 78
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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).

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