Deepen the understanding for school bully-victims : the reasons for bully-victims' role formations, role transitions, and role terminations

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Understanding Information Systems Usage Behavior in E-Government: The Role of Context and Perceived Value

This work provides an alternative conceptualization of the information systems (IS) success model for further understanding of user behavior in government. A context-value-behavior framework is proposed. This study investigates the relationships among perceived quality, normative pressure, perceived values, satisfaction and intention to use IS in government. Analytical results indicate that user intention to use IS in government is markedly influenced by social value and functional value and not by conditional value and satisfaction. The contextual factors, i.e. normative pressure, information quality of IS, and service quality from support of IS department, are crucial for enhancing users’ intention to use IS in government

Diversified Texture Synthesis with Feed-forward Networks

Recent progresses on deep discriminative and generative modeling have shown promising results on texture synthesis. However, existing feed-forward based methods trade off generality for efficiency, which suffer from many issues, such as shortage of generality (i.e., build one network per texture), lack of diversity (i.e., always produce visually identical output) and suboptimality (i.e., generate less satisfying visual effects). In this work, we focus on solving these issues for improved texture synthesis. We propose a deep generative feed-forward network which enables efficient synthesis of multiple textures within one single network and meaningful interpolation between them. Meanwhile, a suite of important techniques are introduced to achieve better convergence and diversity. With extensive experiments, we demonstrate the effectiveness of the proposed model and techniques for synthesizing a large number of textures and show its applications with the stylization.Comment: accepted by CVPR201