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Data in many image and video analysis tasks can be viewed as points drawn from multiple low-dimensional subspaces with each subspace corresponding to one category or class. One basic task for processing such kind of data is to separate the points according to the underlying subspace, referred to as subspace clustering. Extensive studies have been made on this subject, and nearly all of them use unconstrained...
This paper investigates a purchase-inventory optimization problem arising from the operation management practice in iron and steel industry. In the cost-oriented purchase problem, the demands during future planning periods are unknown, and we propose a new history-based model for optimizing the purchase and inventory in steel company. The model makes use of the rich historical demand information which...
Service composition is a technique to recompose various heterogeneous network services for a new business. A modern streaming media system may run multiple businesses. Their resources can easily be improperly distributed and under utilized. This paper studies service composition in the context of streaming media applications. A three-layer model is adopted to describe the system. The optimal service...
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