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Chapter and Conference Paper
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms
Asking questions is one of the most crucial pedagogical techniques used by teachers in class. It not only offers open-ended discussions between teachers and students to exchange ideas but also provokes deeper ...
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Chapter and Conference Paper
Philosophical Principles of Data Discovery
Data discovery is a basis in science and technology research because of nothing to do in case of no data. So, it is very important to find data. Where is the data? Data exists in the research objects which inc...
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Chapter and Conference Paper
Parallel Search by Reinforcement Learning for Object Detection
Object detection algorithms generally search through extensive potential areas without considering spatial correlations. To fully utilize rich information contained in high-level image features, a hierarchical...
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Chapter and Conference Paper
Three Dimensional Stress Wave Imaging Method of Wood Internal Defects Based on TKriging
In order to detect the size, shape and degree of decay inside wood, a three dimensional stress wave imaging method based on TKriging is proposed. The method uses sensors to obtain the stress wave velocity data...
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Chapter and Conference Paper
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep neural networks are able to learn powerful representations from large quantities of labeled input data, however they cannot always generalize well across changes in input distributions. Domain adaptation ...
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Chapter and Conference Paper
Small-Scale Evaluation of Tobacco Planting Suitability Based on Spatial Information Technology
Crop planting suitability evaluation is important for agricultural production. In this study, a comprehensive evaluation framework which combined geographical information system, remote sensing, global positio...