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Sparse manifold learning has drawn more and more attentions recently, and sparsity preserving projections (SPP) has been proposed, which inherits the advantages of sparse reconstruction. However, SPP only focuses on the sparse structure, ignoring the discriminant information of labeled samples. In this paper, we proposed a new supervised dimensionality reduction method, which is called sparse discriminant...
Retail chains in China have been booming in the past 5 years, particularly for small 100 ft2 stores. This study focus on evaluating the location of small chain stores, including 5 major concerns regarding site selection: (a) stream of people, (b) group of stores, (c) location characteristics, (d) store space, and (e) rent proportional to sales. We divided these categories into 9 major factors for...
When a stream application that demands real-time processing over continuous data streams is running on a network-on-chip (NoC)-based multiprocessor system-on-chip (MPSoC), two types of deadlocks may occur: (i) the routing-dependent deadlocks, and (ii) the message-dependent deadlocks. In this paper, we focus on the request-request type message-dependent deadlocks, the most devastating deadlocks in...
In this paper we study primal-dual interior point methods (IPMs) based on a new class of kernel functions which were designed by M. El Ghami, J.B.M Melissen and C. Roos for linear optimization, we extend the functions to second-order cone complementarity (SOCCP). The complexity bound of the method is shown, and the complexity bound of small-update interior-point methods matches the best known complexity...
The article take the computer as the auxiliary means, the use linear plan theory to the large-scale petroleum chemical industry combination unit system establishment mathematical simulation model, simulates the entire wrap petroleum chemical industry installment the investment, delivers, describes between each response mathematical logic relations and the inner link, and causes the model reflection...
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