• Evaluation of Monte Carlo method in PageRank 

    Zhou, Zhi (University of Missouri--Columbia, 2015)
    PageRank is one of the principle ranking algorithms. This method is interpreted as a frequency of visit. As the number of web pages increasing dramatically, the time to finish updating takes longer. Alternatively, Monte ...
  • Fast and adaptive H.264/AVC video coding for network based applications 

    Liu, Li, 1981- (University of Missouri--Columbia, 2009)
    As the state of the art video coding standard, H.264/AVC achieves significant coding performance gain comparing to its predecessors. Nevertheless, the advance comes at huge complexity increase of the encoder, which may ...
  • Full similarity-based page ranking 

    Xu, Jingqian (University of Missouri--Columbia, 2008)
    The World Wide Web creates many new challenges to information retrieval. The sheer mass and almost anarchic structure of the Web makes effective search difficult. Some good search engine alleviate the problem to some extent ...
  • Optimization of a software-only H.264 encoder 

    Chen, Wenxia (University of Missouri--Columbia, 2008)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] With the booming of semiconductor and information technology, digital video have become more popular than ever. The large volume nature of video data ...
  • Significance linked connected component analysis plus 

    Jiang, Xiaobo (University of Missouri--Columbia, 2018)
    An image coding algorithm, SLCCA Plus, is introduced in this dissertation. SLCCA Plus is a wavelet-based subband coding method. In wavelet-based subband coding, the input images will go through a wavelet transform and be ...
  • Significance-linked Connected Component Analysis Plus with new DOR and context model 

    Jiang, Xiaobo (University of Missouri--Columbia, 2011)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In this thesis, a new efficient wavelet image coding algorithm Significance-Linked Connected Component Analysis Plus (SLCCA+) is introduced. SLCCA+ ...
  • Significance-linked connected component analysis+ for wavelet image coding 

    Zhang, Cheng, 1985- (University of Missouri--Columbia, 2010)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The Significance-Linked Connected Component Analysis+ (SLCCA+) is a efficient wavelet image coding algorithm that extends SLCCA by using new data ...
  • Virtual web for PageRank computing 

    Song, Bo, 1987- (University of Missouri--Columbia, 2018)
    The enormous size and fast-evolving nature of World-Wide-Web has been demanding an even more efficient PageRank updating algorithm. Web evolution may involve two kinds: (1) link structure modification; (2) page insertion/deletion. ...
  • Webpage rank using Bayes' rule and connected components 

    Song, Bo (University of Missouri--Columbia, 2012)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The PageRank is one of the most famous link-structure based webpage ranking algorithm adopted by Google which measures the importance of the webpages ...