Browsing Theses (MU) by Thesis Advisor "Zhuang, Xinhua"
Now showing items 1-6 of 6
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Evaluation of Monte Carlo method in PageRank
(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 ... -
Full similarity-based page ranking
(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
(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 with new DOR and context model
(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
(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 ... -
Webpage rank using Bayes' rule and connected components
(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 ...