International Journal of Intelligent Information Systems

Volume 4, Issue 2, March 2015

  • Sparse Spectral Hashing for Content-Based Image Retrieval

    Li Jun-yi, Li Jian-hua

    Issue: Volume 4, Issue 2-2, March 2015
    Pages: 1-4
    Received: Jan. 07, 2015
    Accepted: Jan. 10, 2015
    Published: Feb. 13, 2015
    DOI: 10.11648/j.ijiis.s.2015040202.11
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    This article belongs to the Special Issue Content-based Image Retrieval and Machine Learning
    Abstract: In allusion to similarity calculation difficulty caused by high maintenance of image data, this paper introduces sparse principal component algorithm to figure out embedded subspace after dimensionality reduction of image visual words on the basis of traditional spectral hashing image index method so that image high-dimension index results can be e... Show More
  • A User Interest Model Based on the Analysis of User Behaviors

    Zhu Jinghua

    Issue: Volume 4, Issue 2-2, March 2015
    Pages: 5-8
    Received: Jan. 07, 2015
    Accepted: Jan. 10, 2015
    Published: Feb. 13, 2015
    DOI: 10.11648/j.ijiis.s.2015040202.12
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    This article belongs to the Special Issue Content-based Image Retrieval and Machine Learning
    Abstract: Understanding the users' interest is the base for the industralization of website. In order to provide individualized service better for the users, on the basis of analyzing the users' browse behavioral characteristics and according to the users' retention time in the page, and users' click frequency to the hyperlink and page, a model of computer u... Show More
  • APLSSVM: Hybrid Entropy Models for Image Retrieval

    Li Jun-yi, Li Jian-hua, Zhu Jin-hua, Chen Xiao-hui

    Issue: Volume 4, Issue 2-2, March 2015
    Pages: 9-14
    Received: Nov. 08, 2014
    Accepted: Nov. 12, 2014
    Published: May 05, 2015
    DOI: 10.11648/j.ijiis.s.2015040202.13
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    This article belongs to the Special Issue Content-based Image Retrieval and Machine Learning
    Abstract: Aiming at properties of remote sensing image data such as high-dimension, nonlinearity and massive unlabeled samples, a kind of probability least squares support vector machine (PLSSVM) classification method based on hybrid entropy and L1 norm was proposed. Firstly, hybrid entropy was designed by combining quasi-entropy with entropy difference, whi... Show More
  • The Operation of the Cross-Border e-commerce Logistics in China

    Xiaojun Liu, Dongyan Chen, Jieshan Cai

    Issue: Volume 4, Issue 2-2, March 2015
    Pages: 15-18
    Received: Feb. 09, 2015
    Accepted: Feb. 10, 2015
    Published: Jun. 10, 2015
    DOI: 10.11648/j.ijiis.s.2015040202.14
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    This article belongs to the Special Issue Content-based Image Retrieval and Machine Learning
    Abstract: According to the cross-border e-commerce background, the article is analyzed its operation on the cross-border e-commerce logistics in china. Firstly, this paper illustrates the operation characteristics of cross-border e-commerce logistics, then analyzes some aspects of the cross-border e-commerce logistics, like operations, logistics cost managem... Show More