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In this paper, we addressed in social network visualization for people's interest in music. This visualization system designed for interest in music on social networks provides several capabilities: (A) visualization for friends who share the same interest in music, (B) to group people who share the same interest in music into categories, and (C) to recommend songs function for an increase in the...
This paper proposes an improved method which applies principal components analysis (PCA) algorithm to an existing fingerprinting localization method based on iterative K-means, grid scoring (KS) and AP scoring (AS). In the off-line phase, the suggested method evaluates the localization capability of every access point (AP) for the first step, and then generates only a few new principal components...
Confronted with flerce competition, an increasing number of telecommunication companies in China realize that they can increase proflts by reducing the rate of customer churn rather than attracting the same number of new customers. Recently, the availability of big data has increased, which has stimulated the development of data mining techniques. Identifying methods by which to maximize proflts is...
This paper presents a novel gradient correlation similarity (Gcs) measure-based decolorization model for faithfully preserving the appearance of the original color image. Contrary to the conventional data-fidelity term consisting of gradient error-norm-based measures, the newly defined Gcs measure calculates the summation of the gradient correlation between each channel of the color image and the...
Localization of sensors is one core technique in wireless sensor networks (WSN). A localization algorithm (BHLA) based on hops for large-scale wireless sensor networks is presented in the paper. In the BHLA algorithm, nodes are divided into anchor nodes and unknown nodes. Unknown node can communicate with the anchor nodes which are covered in this unknown node' communication range. Firstly, the distance...
n this dissertation, we have provided a system of visualization for people's interest in music on social networks. This visualization system designed for interest in music on social networks provides several capabilities: (A) visualization for friends who share the same interest in music, (B) to group people who share the same interest in music into categories, and (C) to recommend songs function...
Initialization sensitivity usually occurs in dictionary learning algorithm for image decomposition. In this paper, we propose an adaptive dictionary learning algorithm by promoting structural incoherence at the stage of dictionary updating. The structural incoherence based dictionary learning (SIDL) method guides the cartoon and texture parts to be more properly represented by two incoherent dictionaries...
Based on the minimize spanning tree and Fiedler vector, a new feature matching algorithm is proposed in this paper. Firstly, a weighted complete graph is constructed with the feature points of each image respectively, then search the minimal spanning tree in each complete graph. Secondly, perform spectral decomposition on the Gaussian-weighted Laplace matrix of the minimize spanning tree respectively,...
Relay selection is a key issue in multihop relay networks. This paper proposes a cross-layer design relay selection algorithm for the infrastructure-based two-hop relay networks by introducing a novel utility function as the relay selection criterion. The proposed algorithm considers both channel state information(CSI) at physical layer and queue state informance (QSI) at data link layer, the goal...
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