Most face recognition methods rely on deep convolutional neural networks (CNNs) that construct multiple layers of processing units in a cascaded form and employ convolution operations to fuse local features. However, these are not conducive modeling the global semantic information lack attention important facial feature regions their spatial relationships. In this work, Group Depth-Wise Transpose Attention (GDTA) block is designed effectively capture both representations, mitigate issue...

Community detection in networks has drawn much attention diverse fields, especially social sciences. Given its significance, there been a large body of literature with approaches from many fields. Here we present statistical framework that is representative, extensible, and yields an estimator good properties. Our proposed approach considers stochastic blockmodel based on logistic regression formulation node correction terms. We follow Bayesian explicitly captures the community behavior via...

This study investigates the mismatch between educational attainment of a graduate with Master Engineering (MEng) degree and industry needs in China. A competency list for MEng graduates from perspective was constructed. And survey conducted among students, alumni, employers to assess listed items. The analysis data yielded five competencies. Mismatches were found all factors. Each discrepancy is discussed detail this paper.

The improvement of data-driven soft sensor modeling methods and techniques for the industrial process has strongly promoted development intelligent industry. Among them, ensemble learning is an excellent framework. Accuracy diversity are two key factors that run through entire stage building learning-based sensor. Existing base model generating or pruning always consider separately, which limited high-performance but low-complexity sensors. To work out this issue, a selective method based on...

Community detection in networks has drawn much attention diverse fields, especially social sciences. Given its significance, there been a large body of literature with approaches from many fields. Here we present statistical framework that is representative, extensible, and yields an estimator good properties. Our proposed approach considers stochastic blockmodel based on logistic regression formulation node correction terms. We follow Bayesian explicitly captures the community behavior via...

This paper describes a novel texture based multilateral filter in joint feature space including the spatial, color and features. Bilateral with spatial information is effective smoothing image while preserving edges details, however, on similar color, edge blurring inevitable. Based suppose that have different features both sides, proposed combines as an additional feature, then smoothed detailed structures. The tested context of bilateral some filters. Experimental results quantitatively...

This paper presents an operator of fuzzy clustering method image segmentation based on Local Binary Pattern (LBP). Semi-supervised learning and are introduced in order to overcome the problem initial sensitive. Also, local binary pattern is construct space feature vectors pixels, which makes full use characteristics information pixel. Space pixels used choose data set. Result experiments shows that improves accuracy enhance detailed features segmentation.

The basic theory knowledge of physical education is the basis practice curriculum, and provides rich theoretical guidance for students' training.But in current school education, excessive attention has been paid to teaching curriculum.The students lack interest courses are less.Seriously ignored importance sports guiding significance practice.Therefore, ignores sports.Improving teachers on knowledge.Strengthen professional accomplishment Physical Education Teachers.In view understanding...

Due to the popularity of 5G connectivity and The Internet Things sensors, deep learning algorithms are being extended edge devices. Compared with AI(Artificial Intelligence) cloud platforms, deployment neural networks on devices must focus low power consumption, latency, stability reliability. In recent years, development lightweight network architecture has provided a basis for However, shortcomings networks, such as overconfidence, vulnerability adversarial attack, easy over fitting when...