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Deep Reinforcement Learning for Traveling Purchaser Problems
The traveling purchaser problem (TPP) is an important combinatorial optimization problem with broad applications.
A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
Accurate traffic prediction in real time plays an important role in Intelligent Transportation System (ITS) and travel navigation guidance.
The Direction-Aware, Learnable, Additive Kernels and the Adversarial Network for Deep Floor Plan Recognition
Besides, an adversarial network with two discriminators is proposed to further improve the accuracy of the elements and to reduce the noise of the semantic segmentation.
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