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As the advance of computer graphics architecture increases, the demand for moving data between storage systems are necessary and frequently, especially in virtual environments (VE). The current researches still depend on the spatial locality. The object correlations are always neglected and absent. However, very little approaches were proposed for exploiting object correlations in VE to improve the...
Our research aims to develop a system to help women choose correct attire for attending a specific occasion using all of what have already been in their closets. Many different computer theories and techniques are gathered in the project. Category learning with supervised neural networking is applied to cluster garments into different impression groups. Fuzzy theories are applied for gathering fashion...
Object correlations are common semantic patterns in virtual environments (VE). They can be exploited for improve the effectiveness of storage caching, prefetching, data layout, and disk scheduling. Unfortunately, information about object correlations is unavailable at the VE level. However, little approaches for discovering object correlations in VE to improve the performance of storage systems. Moreover,...
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