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Earthquake is one of the most destructive natural disasters. Lushan Ya'an earthquake occurred in April 20, 2013 caused a wide range of road damage. The earthquake made Baoxing country become an island and rescue was difficult to carry out. The secondary disaster caused by earthquakes is one of the main causes of road damage. According to the present situation of damaged road extraction, a new method...
The question of finding the community structure of a complex network has been addressed in many different ways. Here we utilize a clustering method called affinity propagation, associating with some existent measures on graphs, such as the shortest path, the diffusion distance and the dissimilarity index, to solve the network partitioning problem. This method considers all nodes as potential exemplars,...
The ν-Support Vector Classification (ν-SVC) proposed by Scholkopf et al. has the advantage of using a regularization parameter ν on controlling the number of support vectors and margin errors. However, comparing to C-SVC, its formulation is more complicated, up to now there are no effective methods on computing the regularization path for it. In this paper, we propose a new regularization path algorithm,...
In this paper, we propose a scheme can be divided into two parts: one is about robust embedding of dual visual watermarks using DWT and Singular Value Decomposition (SVD), the other part is about tamper detection and self-recovery algorithm of color image. We stress on the latter part. Dual visual watermarks are original image watermark which is color scale image the same as original image and ownership...
Following the intuition that the image variation of faces can be effectively modeled by low dimensional linear spaces, we propose a semi-supervised subspace learning method for face clustering using side-information in the form of must-link pairwise constraints which specify whether a pair of data instances belongs to the same class. A subspace called S-NPEface is found by using a Semi-supervised...
Along with increasing credit cards and growing trade volume in China, credit card fraud rises sharply. How to enhance the detection and prevention of credit card fraud becomes the focus of risk control of banks. This paper proposes a credit card fraud detection model using outlier detection based on distance sum according to the infrequency and unconventionality of fraud in credit card transaction...
This paper analyses the causes that give rise to the risk of credit fraud and presents an anomaly detection method by using an outlier detection model based on similar coefficient sum. It finds fraud record by computing similar coefficient sum of every two objects and an example is given to validate the model. The result show the feasibility and validity of the method. The research work furnishes...
Clustering with constraints is an active area in machine learning and data mining. In this paper, a semi-supervised kernel-based fuzzy C-means algorithm called PCKFCM is proposed which incorporates both semi-supervised learning technique and the kernel method into traditional fuzzy clustering algorithm. The clustering is achieved by minimizing a carefully designed objective function. A kernel-based...
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