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Face recognition plays a important role in computer vision. Recent researches show that high dimensional face images lie on or close to a low dimensional manifold. LPP is a widely used manifold reduced dimensionality technique. But it suffers two problem: (1) Small Sample Size problem; (2)the performance is sensitive to the neighborhood size k. In order to address the problems, this paper proposed...
The proximity service using Bluetooth and/or P2P WIFI enabled mobile devices for people's social interactions with other users who come into their close proximity is becoming an important means for people to conveniently and efficiently expand their social networks. Proximity mobile social networks (PMSNs) are usually built in ad hoc mode to allow information sharing and interaction among users in...
The paper discusses six characteristics of moodle to apply in distance education, and then analyzes a specific case to illustrate how to learn through distance education. The significance of this paper is to keep optimizing about moodle application.
Association rule mining is to find association relationships among large data sets. Mining frequent patterns is an important aspect in association rule mining. In this paper, an efficient algorithm named apriori-growth based on apriori algorithm and the FP-tree structure is presented to mine frequent patterns. The advantage of the apriori-growth algorithm is that it doesn't need to generate conditional...
MCS (minimal consistent set) is one of the classical algorithms for minimal consistent subset selection problem. However, when noisy samples are present classification accuracy can suffer. In addition, noise affect the size of minimal consistent set. Therefore, removing noise is an important issue before sample selection. In this paper, an improvement approach based on MCS to select the representative...
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