-
Chapter and Conference Paper
Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions
Recent knowledge graph embedding models have shown promising results on link prediction, by employing operations on quaternion space to capture correlations between entities. However, they only used three quat...
-
Chapter and Conference Paper
Research on ECG Classification Method Based on Convolutional Neural Network
The electrocardiogram reflects the temporal changes in the body’s cardiac potential; This is also an imp...
-
Chapter and Conference Paper
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking
In recent years, Discriminative Correlation Filter (DCF) based tracking methods have achieved great success in visual tracking. However, the multi-resolution convolutional feature maps trained from other tasks...