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Localizing heavily occluded human faces is a challenging problem in facial detection. Previous methods mainly employ sliding windows by determining whether windows include human faces. In this paper, we provide a novel segmentation-based perspective for heavily occluded face localization with deep convolutional neural networks (CNN). Our model takes an image as input without complicated pre-processing...
Epilepsy is increasingly occurred disease in the modern world, and the use of automatic detection technology of epileptic Electroencephalogram (EEG) signals is more and more important. In this essay, a novel approach named CC-ELM of automatic epileptic EEG signals detection is proposed. Unlike traditional dimension reducing methods of most current automatic detection, the proposed approach adopts...
Smile detection from facial images is a specialized task in facial expression analysis with many potential applications such as smiling payment, patient monitoring and photo selection. The current methods on this study are to represent face with low-level features, followed by a strong classifier. However, these manual features cannot well discover information implied in facial images for smile detection...
A hybrid course curriculum design and implementation based on CDIO approach to engineering education is presented. The course is “fundamentals of electric circuit” for undergraduates of electrical engineering and automation program. The relation of the university motto is analyzed and mapped to CDIO directly. The curriculum design conducts CDIO ideas to classroom teaching, lab experiment and other...
Customer satisfaction is an fatal part applied in the consistent self-improvement of an organization. It is usually regarded as the most reliable and effective feedback system to make enterprises understand customers' expectation and preference accurately. This paper reviews the convention satisfaction studies firstly, then suggests the assessment structure of convention customer satisfaction. Based...
In this paper, we describe a two-stage hybrid approach to select gene features and produce dominant patterns for evaluating the pathological probability. To discover suitable genes as experiment samples for distinguishing the status of gene regulation, we utilized receiver operating characteristic (ROC) method to eliminate non-significant genes of unapparent variation between normal tissues and tumors...
Research work related to plagiarism detection methods in dealing with monolingual texts (e.g. English texts) have been well established in recent years. However, little attention has been paid to facilitate plagiarism detection in cross-lingual text collections (e.g. English and Chinese texts). In this paper we present a system platform to evaluating text similarity and relatedness in multilingual...
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