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The paper introduces theory of spatial scales as well as the processes of extracting planar SIFT characters in details. Meanwhile, aiming at defects of SIFT features, the paper proposes an improved SIFT characters. Firstly, extract SIFT characters for all frame images in the shot, and then screen them through the thought of spatio-temporal interest point, the process of which can separate parts of...
This paper presents a novel approach for ball carrier detection and behavior recognition in a basketball match. Considering the cluttered background, fast motion of the players and the low resolution of the player images in the basketball match video, a covariance descriptor is adopted to fuse multiple visual features of the player, which can be characterized as a point on the Riemannian manifold...
Although various methods have been proposed to detect anomalies, they are mostly based on the traditional statistical physics. The traditional statistical physics methods are based on the stationary hypothesis of the network traffic, which always ignore the real catastrophe process when anomalies occur. In order to reflect the catastrophe process of the abnormal network traffic, we present a non-stationary...
Collaborative filtering is the most widely used and successful technology for building recommender systems. However it faces challenges of scalability and recommendation accuracy. Collaborative filtering can be divided into memory based and model based. The former is more accurate while the latter performs better in scalability. This paper proposes a hybrid user model. The recommender system based...
Genes with similar functions might lead to similar phenotypes and tend to locate in a cluster in protein- protein interaction (PPI) network. The responsible genes should be identified for cardiovascular artery disease by their combined network topological features. Here we introduced a method called CTFMining to predict candidate disease genes which based on the combined network topological features...
Many current P2P trust models are not suitable for P2P e-commerce because the characteristics of P2P e-commerce are not taken into account. In addition, the simple representation of trust cannot be used to accurately gain assess to other peers in the e-commerce community because of the diversity and subjectivity of trust. In order to evaluate the peers for each other, this paper developed a vector-based...
Particle swarm optimization was applied in BP neural network training. It reasonably confirms threshold and connection weight of neural network, and improves capability of solving problems in realities. Meanwhile, PSO-BP neural network is applied into classification of fabric defect. The method of orthogonal wavelet transform was used to decompose monolayer from fabric image. And the sub-images of...
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