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This article discusses the problem of selecting Chinese features based on TF-IDF weight in text categorization. TF-IDF weight is commonly used in text categorization for its simplexes. However, it can not express the relationship between a feature appearance frequency in one class and appearance frequency in other classes. To solve the problem, we designed TF-NIDF weighting method to express the relationship...
Bioinformatics is a data-intensive field of research and development. The purpose of bioinformatics data mining is to discover the relationships and patterns in large databases to provide useful information for biomedical analysis and diagnosis. In this research, algorithms based on artificial immune systems (AIS) and artificial neural networks (ANN) are employed for bioinformatics data mining. Three...
Obstacle avoidance is an important task for autonomous navigation. The paper presents a simple vision based obstacle detection and avoidance algorithm for mobile robots. Using a monocular vision system, a depth map is created in which every pixel of the image captured by the robot is classified in one of the two categories- ground or obstacle. A virtual triangular obstacle is then created on the depth...
A Text analysis is the text to speech conversion system front-end, restricting the naturalness of speech synthesis is an important factor, this paper, study Chinese language text analysis program, based on the analysis of the characteristics of Tibetan language, proposed a set of speech synthesis for Tibetan text analysis module implementations. Maximum matching method used in the text and sub-word...
Geographic location of nodes is very useful for a sensor network. A novel and practical Radio Frequency (RF)-based localization algorithm called Kcdlocation is presented for some specific network topologies, such as grid and linear topology. The Kcdlocation can be applied to those wireless sensor networks deployed with known coordinate database. This algorithm examines the ordered sequence of neighboring...
A contour edge detector combing surround facilitation and suppression is proposed in this paper. Specifically, the detector follows the flow of the Canny edge detector while incorporating surround facilitation and suppression into it. Firstly, edge gradient magnitude and edge density information is utilized to classify potential contour points and texture points approximately. Secondly, surround facilitation...
A foreground extraction algorithm based on background subtraction and edge detection was proposed to obtain the foreground with a little change. An action classification method based on Enhanced Gait Energy Image (EGEI) and Locality Preserving Projections (LPP) was used. The high dimensional feature space was non-linearly reduced to lower dimensional space, which outperformed PCA and 2DPCA. The nearest-neighbor...
Action recognition is an important research issue in intelligent surveillance and many other automatic video systems. In this paper, we describe a novel method for the human action recognition from its silhouette in the video. In the algorithm, diffusion maps is used for dimensionality reduction as well as to preserve much of the geometrical structure. A global geometry and local temporal similarity...
There is growing evidence that traditional Chinese medicine (TCM) plays an important role in the diagnosis and therapy of diseases. However, it is difficult to be analyzed and understood by modern science, which seriously block its development. So there is an urgent need to explore an automatic diagnosis system of traditional Chinese medicine. This paper analyzes the proper of traditional Chinese...
Text classification is the key technology for topic tracking, and vector space model (VSM) is one of the most simple and effective models for topics representation. On the basis of 2 information gain algorithm and chi square ιY in VSM, we have studied how feature selection algorithm and feature dimension in VSM affect topic tracking. And then we get the variation law that they affect topic tracking,...
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