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Chapter and Conference Paper
Itinerary Recommendation for User Groups in Temporary Social Network
Temporary social network has been a increasing popular field in the last few years where people form a temporary social group for a short time period with common interests or purposes in the same area. When a ...
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Chapter and Conference Paper
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction
During infancy, the human brain develops rapidly in terms of structure, function and cognition. The tight connection between cognitive skills and brain morphology motivates us to focus on individual level cogn...
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Chapter and Conference Paper
Personal Name Disambiguation for Chinese Documents in Online Medium
Disambiguating various people that share the same name is a critical issue for analyzing contents in online medium. This paper develops a framework for dealing with personal names in Chinese dataset. Web pages...
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Chapter and Conference Paper
A Novel Dual-Modal Biometric Recognition Method Based on Weighted Joint Group Sparse Representation Classification
Multi-modal biometric recognition technology is an effective method to improve the accuracy and reliability of identity recognition. However, there are some problems (such as feature space incompatibility) wit...
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Chapter and Conference Paper
A Finger Bimodal Fusion Algorithm Based on Improved Densenet
Compared with single-mode biometric recognition, multimodal biometric recognition has been widely used because of its high security and high accuracy. Among them, finger based multimodal biometric recognition ...
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Chapter and Conference Paper
Medical Image Segmentation Using Transformer
For the past few years, the U-Net structure shows strong performance in the field of medical image segmentation. However, due to the inherent locality of convolution operations, U-shaped structures are often l...
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Chapter and Conference Paper
Decentralized Predictive Enterprise Resource Planning Framework on Private Blockchain Networks Using Neural Networks
Theoretically, cross-department predictive modeling can improve the operational efficiency of an enterprise, particularly on enterprise resource planning. For example, a model that predicts the volume of purch...
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Chapter and Conference Paper
CLMB: Deep Contrastive Learning for Robust Metagenomic Binning
The reconstruction of microbial genomes from large metagenomic datasets is a critical procedure for finding uncultivated microbial populations and defining their microbial functional roles. To achieve that, we...