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Based on the probability of memberships estimated by RVM (relevance vector machine) basic model, probabilistic output approaches for multi-class memberships in one-against-all strategy by multivariate sigmoid function and in one-against-one strategy by pairwise coupling are presented respectively. Experiment results based on artificial Gauss datasets and UCI datasets show the proposed approaches can...
FaceDCAPTCHA and FR-CAPTCHA, proposed in 2014, are both face-based CAPTCHAs relying on human face recognition. The security of FaceDCAPTCHA is based on the difficulty of classifying real human faces and fake faces while the FR-CAPTCHA finds two faces belonging to the same person in a complex background. In this paper, edge detection is employed to obtain the small faces in FaceDCAPTCHA and then an...
Detection of tool wear is vital for the deep-hole drilling, because it can help increasing manufacturing productivity and decreasing tool cost. This paper uses the drilling noise to establish the BTA tool wear condition monitoring system in order to monitor the tool wear condition. After the improved Empirical Mode Decomposition (EMD) method is used to do the modal decomposition for noise signal which...
To solve the class imbalance problem in classification of pre-miRNAs with ab initio method, a novel sample selection method is proposed according to the characteristics of pre-miRNAs. Real/pseudo pre-miRNAs are clustered based on their stem similarity and their distribution in high dimensional sample space respectively. The training samples are selected according to the sample density of each cluster...
In this paper, a novel clustering-based classifier using Support Vector Machines criterion (called CBCSVM) is presented for pattern classification. This algorithm involves three steps. At first, the robust clustering algorithm Kernelized Fuzzy c-means is utilized to yield the clustering centers. Then, a set of Gaussian functions associated with these obtained centers are adopted to map the samples...
Credit scoring has attracted lots of research interests in the literature. The credit scoring manager often evaluates the consumer's credit with intuitive experience. However, with the support of the credit classification model, the manager can accurately evaluate the applicant's credit score. Support Vector Machine (SVM) classification is currently an active research area and successfully solves...
The feature extraction is the most critical technology of text categorization. The method of feature extraction from Chinese text based on CILIN is different from the conventional feature extraction, which uses two feature extraction methods. This method is good at dealing with synonyms and polysemes, and reducing the dimension. Firstly, it uses the method of feature extraction from Chinese text based...
Vector space model is usually used to express text for text categorization. How to reduce the dimensionality of feature space is a very key problem for practical text classification. The classical decomposition algorithms are incapable of dealing with the high-dimensional and large-scale text categorization problems. In this paper an approach to improving the performance of text categorization is...
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