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Chapter and Conference Paper
Discriminative Representation Learning for Cross-Domain Sentiment Classification
Cross-domain sentiment classification aims to solve the lack of labeled data in the target domain by using the knowledge of the source domain. Most existing approaches mainly focus on learning transferable fea...
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Chapter and Conference Paper
Category-Level Adversarial Network for Cross-Domain Sentiment Classification
Cross-domain sentiment classification utilizes useful information in the source domain to improve the sentiment classification accuracy in the target domain which has few or no labeled data. Most existing meth...
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Chapter and Conference Paper
Research on How to Use OUC Cloud Classroom to Assist Education Development in Tibet
In response to the educational needs in promoting development in Tibet, this paper proposes a set of educational path milestones to assist development in Tibet, including essential factors such as the building...
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Chapter and Conference Paper
Edge Based Segmentation of Left and Right Ventricles Using Two Distance Regularized Level Sets
In this paper, we present a new approach for segmentation of left and right ventricles from cardiac MR images. A two-level-set formulation is proposed which is the extension of distance regularized level set e...