Minshuo Li

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With rapid development of information technology, dimensionality of data in many applications is getting higher and higher. However, many features in the high-dimensional data are redundant. Their presence may pose a great number of challenges to traditional learning algorithms. Thus, it is necessary to develop an effective technique to remove irrelevant(More)
  • Minshuo Li
  • 2010
Based on the distinct characteristics of ubiquitous resources, strong heterogeneity, high dynamism, and mobility in any time, this dissertation develops a model of active resource space, which is capable of providing three layers of adaptation in device, task, and user. This model is able to provide seamless adaptive ubiquitous resource management across(More)
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