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This paper presents novel architectures for machine learning based classifiers using stochastic logic. Two types of classifier architectures are presented. These include: linear support vector machine (SVM) and artificial neural network (ANN). Stochastic computing systems require fewer logic gates and are inherently fault-tolerant. Thus, these structures are well suited for nanoscale CMOS technologies...
The speakers with cleft palate, due to the defective velopharyngeal mechanism, allow the passage of air through the nasal cavity, which introduces inappropriate nasal resonance during speech production and results in hypernasal speech. The existence of hypernasality severely reduces the intelligibility of the speech. The treatment of cleft palate hypernasal speech requires the follow up operation...
A novel and efficient human action recognition method utilizing spatio-temporal interest point detector and 3D speed up robust features (3D SURF) descriptor is proposed. The spatio-temporal interest points are detected using two separate linear filters. Then 3D SURF descriptor is presented and demonstrated in detail to represent the local region around interest point. The experimental results on KTH...
The traditional teaching of intelligent network system does not have the function of emotion teaching, so the paper has put forward an idea to obtain the chief facial features to analyze learners' emotion. This paper bases the color front-optimized improved Adaboost face detection algorithm to detect human face, uses the best segmentation threshold value to obtain the eyelid spacing and the difference...
The traditional intelligence network tutoring system can not be implemented affective tutoring. This paper proposed that it can obtain the chief facial features to analyze learners' emotion, through the face detection and location under the web environment. It is based on the skin module to locate a human face to obtain the area of the face and it is based on the apriori knowledge and the best segmentation...
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