Social network is a special kind of network, and the relationship between nodes in social networks are used to evaluate a network of social-related strength. Network area is divided into multiple regions, as the netwo...
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The tradition methods about feature selection are based on mathematical statistics and lack of semantic information. LDA(Latent Dirichlet Allocation) model is a three-level hierarchical Bayesian and a kind of unsuperv...
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In realistic Delay Tolerant Networks (DTNs), the nodes need to keep probing the environment to discover the neighbors in their transmission range. In this paper we assume that the network has a small amount of energy-...
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While neither both source terminals nor relay nodes know any channel state information (CSI) in twoway wireless relay networks, it is difficult for some conventional distributed differential relay models to achieve hi...
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Due to the complexity of indoor wireless environment, indoor position is more difficult than other location technologies in wireless sensor network, and how to improve accuracy of location is one of the key research p...
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This paper is to predict economic development based on wavelet least squares support vector machine algorithm. The same as support vector machine, least squares support vector machine employs the principle of structur...
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A whisper intelligibility enhancement method was proposed based on the Real-valued Discrete Gabor Transform (RDGT) in the joint time frequency domain where the RDGT can change the density of the spectrum through the o...
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In order to accomplish tracking of moving objects requirements, and overcome the defect of occlusion in the process of tracking moving object, this paper presents a method which uses a combination of MeanShift and Kal...
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Finding correspondences between two related feature point sets is a basic task in computer vision and pattern recognition. In this paper, we present a novel method for point pattern matching via spectral graph analysi...
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This paper presents a novel method that integrates the Algebraic Connectivity Strength of Point(ACSP) and Scoring Criteria to identify genes associated with tumor ***,for each gene,the ACSP is used to identify reliabl...
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This paper presents a novel method that integrates the Algebraic Connectivity Strength of Point(ACSP) and Scoring Criteria to identify genes associated with tumor ***,for each gene,the ACSP is used to identify reliable expression levels of the gene in all the *** informative genes are then selected using Scoring Criteria based on these reliable expression ***,the Support Vector Machine(SVM) classifier is used to classify the two datasets of gene expression *** results show that the informative genes selected by the proposed method have higher credibility than those selected by Scoring Criteria alone.
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