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J. Cent. South Univ. (2012) 19: 488-495 DOI: 10.1007/s11771-012-1030-5 Modified Fourier descriptor for shape feature extraction ZHANG Gang(张刚)1, MA Zong-min(马宗民)2, NIU Lian-qiang(牛连强)1, ZHANG Chun... in a feature space. Then, Fourier transform was used for composition of point information in the feature space so that the shape features could be computed. It is proved theoretically that the shape features......
Application of multi-scale feature extraction to surface defect classification of hot-rolled steelsKe Xu,Yong-hao Ai,Xiu-yong WuNational Engineering Research Center for Advanced Rolling Technology, University of Science and Technology Beijing摘 要:Feature extraction is essential to the classification of surface defect images. The defects of hot-rolled......
an integrated classification method based on sentiment dictionary, support vector machine (SVM) and k-nearest neighbor (KNN). An improved feature selection method was adopted to enhance the discriminative... in the second stage. The integrated classification method was composed of four steps, namely, text representation, feature selection, training dataset processing and testing dataset classification......
a query image and images in the database.Key words:image classification; multi-viewpoint image; feature extraction; video learning...Video learning based image classification method for object recognitionLEE Hong-ro, SHIN Yong-ju(Department of NTIS Center, Korea Institute of Science & Technology Information, Daejeon 305-806......
to classify wrist motions using surface electromyogram (EMG). Effect of feature selection in EMG signal processing was also verified by comparing classification accuracy of each feature, and the enhancement... of classification showed in the GMM. The most effective combination of classification method and double feature was (MAV, DAMV) of GMM and its classification accuracy was 96.85%. The results......
J. Cent. South Univ. (2012) 19: 504-510 DOI: 10.1007/s11771-012-1032-3 A robust feature extraction approach based on an auditory model for classification of speech and expressiveness SUN Ying(孙颖)1, 2... state but also cross emotion states; 3) The trend towards a thorough exploitation of the feature space used for classification. Relatively few studies were conducted using more than one database......
Seismic signal recognition using improved BP neural network and combined feature extraction methodPENG Zhao-qin(彭朝琴)1, CAO Chun(曹纯)1, HUANG Jiao-ying(黄姣英)2, LIU Qiu-sheng(刘秋生)3(1. School... and vehicle was acquisitioned from the seismic sensor, and then feature vectors were extracted with combined methods after filter processing. Finally, these features were put into the improved BP neural network......
), and this model is effective for an EMG-based user-interfaced system.Key words:electromyography (EMG); pattern classification; feature extraction; deep learning; deep belief network (DBN)...Multi-channel electromyography pattern classification using deep belief networks for enhanced user experienceSHIM Hyeon-min1, LEE Sangmin1, 2(1. Institute for Information and Electronic Research......
, and the proposed method is successfully applied to the classification of ACS. Key words: anode current signals; key features; distance matrix; feature of similarity numbers; shapelet transformation... series data mining in classification [14], clustering [15, 16], summarization [17, 18] and visualization [19, 20]. Shapelet is a subsequence or shape, and it is a representative feature for one class......