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As a powerful tool in machine learning, Support Vector Machine(SVM) also suffers from expensive computational cost in the training phase due to the large number of original training samples. To overcome this problem, this paper presents a new method based on a two steps of sample reduction to reduce training samples. This algorithm includes cluster detection by Fuzzy C-Means Clustering (FCM) Cluster...
This paper presents an algorithm based on the ideas of bag of words and sparse representation for action recognition. We assume that all action instances form an action space and all action instances from one action class form a subspace of it. Furthermore, the action space can be represented by an over complete basis and each action instance can be represented by a linear combination of the basis...
Collision detection and three-dimensional modeling are two important technologies in robot virtual reality system. Technique of three-dimensional modeling based on Creator software is introduced in this paper. On the basis of it, it creates bomb-disposal robot simulation model, etc. In scene simulation, collision detection could improve locomotion reality and avoid the phenomena of mutual penetration...
In this paper, we propose a new general Quality Assessment method based on the curvelet transform, called Curvelet No-Reference (CNR) model, which can estimate levels of noise, blur and JPEG 2000 compression of natural images. The peak coordinate of the curvelet coefficient histogram occupies distinctive regions depending on how the image was modified from the original. During training, we associate...
Widespread information technique use has led to the emergence of email networks large-scale applications networks in cyberspace. But the traditional spam solutions for anti-spam are mostly static methods, and the means of adaptive and real time analyses the mail are seldom considered. Inspired by the theory of artificial immune systems (AIS), a novel distributed anti-spam model that leverages e-mail...
For speedy robust object recognition, our model builds on Serre’s standard model and modifies it by additional biological characteristics, such as introducing the manner of neuron firing, feature localization, and merging unit features in the higher layers. According to the four-layer architecture of standard model, we first apply Gabor filters on a higher intermediate frequency band of original image,...
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