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There are a large quantity of non-certain and non-structure contents in the Web text at the present time. It is difficult to cluster the text by some normal classification methods. An algorithm of Web text clustering analysis based on fuzzy set is proposed in this paper, and the algorithm has been described in detail by example. The technique can improve the algorithm complexity of time and space,...
Pixel point gradient features represent much of the intrinsic structures of an image and can be used to the description of machine vision object. By ICA technique, pixel gradient data can be projected from a high-dimensional space to a lower-dimensional space, which reduce the redundancy with no image segment based on threshold. A method of visual object matching based on gradient ICA feature is provided...
As virtual classrooms become more and more popular, companies are focusing on developing collaboration tools that help boost the effectiveness of online learning environments. These tools are referred to as synchronous collaboration tools. However, few virtual classrooms have multi-video function. This paper develops a multi-video based virtual classroom (MVVC) by Java media framework (JMF), a new...
In the last decade, the use of artificial neural networks (ANN) has become widely accepted in medical applications for accuracy for predictive inference, with potential to support and flexible non-linear modelling of large data sets. Feedforward neural network (FNN) is a kind of artificial neural networks, which has a better structure and been widely used. But there are still many drawbacks if we...
The classification for similar features classes is quite difficult task in many existing pattern-recognition systems. When the amount of samples is insufficient, neural networking training is hard. The dimension reduction, classification, clustering etc serial steps in recognition process takes such much time that the practical recognizing application is ease to meet the real time requirement. The...
Combining the failure practical example, neural network analysis is used for diagnosis. Using the neural network in MATLAB to simulate the circuit fault system, this is using two different kinds of training functions. For the better analysis of failure diagnosis problems, firstly, using MATLAB software to simulate failure problems such as the emergence of regular power, short circuit and broken circuit...
Some target tracking occasions often requires to tracking a kind of target, such as human face, automobile and so on. A specific target tracking algorithm based on support vector machine (SVM) and AdaBoost is proposed. Moreover, the characteristic data of SVM is a critical factor to success to detecting target. The method selects part of Harr wavelet characters by AdaBoost as input data of SVM training...
An anomaly intrusion detection algorithm based on minimal diversity is proposed. It can deal with mixed attributes, so overcomes the deficiencies of most unsupervised learning methods. Based on the minimal diversity measurement, we use a small amount of marked data to guide clustering. When detecting new records, we calculate its diversity from the existing clusters to determine its category. This...
The statistical information reconstruction of images will be difficult and inaccurate when no conditional data or only hard data are available. Accuracy of reconstructed images can be improved, using soft data during the process of reconstruction. Integrating soft data with hard data, a method based on multiple-point geostatistics is proposed to reconstruct statistical information of images. During...
There is a lack of general mail filtering system, which is not only compatible with several content-based filtering methods but also can realize automatic learning function by mail client. In this connection, this paper proposes GALMFS (general automatic learning mail filtering system). GALMFS realizes general design of mail filtering system through separating content-based filtering methods from...
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