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J. Cent. South Univ. Technol. (2008) 15: 117-120 DOI: 10.1007/s11771-008-0023-x Stability classification model of mine-lane surrounding rock based on distance discriminant analysis...; Abstract: Based on the principle of Mahalanobis distance discriminant analysis (DDA) theory, a stability classification model......
Classification of features 表4 检索出的感兴趣的要素层 Table 4 Interested feature layer 表5 时空要素关联索引矩阵 Table 5 Indexed matrix of S-T association features (3) 构建时空要素关联索..., the results show that the MVAP and their algorithm have applicability. Key words: multivariate association patterns; feature association rules; equivalence classes 空间数据关联挖掘为基于空间关联的知识获取提供了途径,在交通[1],生物......
Landslide hazards mapping using uncertain Naive Bayesian classification methodMAO Yi-min(毛伊敏)1, 2, 3, ZHANG Mao-sheng(张茂省)1, WANG Gen-long(王根龙)1, SUN Ping-ping(孙萍萍)1(1. Key Laboratory for Geo-hazard... with these landslide hazard assessment methods based on Na?ve Bayesian classification technique, which is difficult in quantifying those uncertain triggering factors, the main purpose of this work......
fractions.This paper demonstrates how such information can be obtained from air classification experiments when these are combined with chemical analysis of the produced size fractions.The classification......
-distance lane detection approach was presented based on a linear-cubic road model for two-lane highways. By using a novel robust lane marking feature which combines the constraints of intensity, edge... words: lane detection; lane tracking; front vehicle location; full autonomous vehicle; feature line section; autonomous driving; vision 1 Introduction Intelligent vehicles running on highway roads have......
WordNet-based lexical semantic classification for text corpus analysisLONG Jun(龙军)1, WANG Lu-da(王鲁达)1, LI Zu-de(李祖德)1, ZHANG Zu-ping(张祖平)1, YANG Liu(杨柳)2(1. School of Information Science... to implement document representation. Such document representations ignore the lexical semantic contents of terms and the distilled mutual information, leading to text classification errors. This work......
Paper, 2012, 7(2): 277-281. [14] Haralick R M, Shanmugam K, Dinstein I. Texture feature for image classification[J]. IEEE Trans on Sys, Man and Cyb, 1973, 3(6): 610-621. [15] Shearer S A, Holmes R G...) Abstract: A method for froth image texture extraction based on CCHS was proposed to rapidly and effectively extract feature texture. The procedures are as follows. Firstly, froth image space......
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-processing, feature extraction [5] and classification/recognition [6]. In pre-processing, the images that are subjected for character recognition are filtered and resized. The low level features of the image..., and shadow feature [13]. Most of the classification algorithms designed for the optical recognition are limited due to the accuracy that reduces due to varying writing styles. This research paper intends......