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In this paper, we create a semi-supervised methodology for financial fraud detection in bank wire transactions based on a clustering-based-isolation-forest (CBiForest) algorithm. To test this hybrid model, we experiment on wire transaction data of twelve months from China Everbright Bank. The result of abnormal users is proved to be reliable and outperforms other clustering algorithms. Furthermore,...
Cloud computing environments facilitate applications by providing virtualized resources that can be provisioned dynamically. So how to schedule applications to cloud resources and the execution time should be taken into account. In this paper, we propose a scheduling strategy based on ant colony optimization (ACO) and two-way ants mechanism is introduced. Setting the pheromone threshold is to avoid...
We present a non-rigid object matching algorithm based on hyper graph method. Previous work has achieved good performance for rigid object matching. However, because of deformation and wrinkle, existing algorithms cannot solve non-rigid object matching problem effectively. This paper mainly focuses on matching patterns on cloth which often deforms greatly. First, we extract stable regions from the...
It is evident that the 3G(3rd-generation) and B3G(Beyond Third Generation in mobile communication system) communication systems need higher wireless capacity. Multi-user detection (MUD) technique is one of the key techniques in Code Division Multiple-Access (CDMA) system. This technique can reduce the multiple access interference (MAI) and inter symbol interference (ISI) by using the structured information...
In this paper, we address the pair-activity classification problem, which explores the relationship between two active objects based on their motion information. Our contributions are three-fold. First, we design a set of features, e.g., causality ratio and feedback ratio based on the Granger Causality Test (GCT), for describing the pair-activities encoded as trajectory pairs. These features along...
This paper presents a novel method for identity recognition based on the 2D gait representation: Gait Energy Image (GEI) which is the averaged silhouette over one gait cycle. An ensemble of Gabor kernels is first convolved with GEI to extract discriminative feature. The obtained Gabor gait representation is then projected into lower dimensional subspace using discriminative common vectors (DCV) analysis...
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