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Chapter and Conference Paper
Local Mutual Metric Network for Few-Shot Image Classification
Few-shot image classification aims to recognize unseen categories with only a few labeled training samples. Recent metric-based approaches tend to represent each sample with a high-level semantic representatio...
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Chapter and Conference Paper
Quantum Reinforcement Learning
A novel quantum reinforcement learning is proposed through combining quantum theory and reinforcement learning. Inspired by state superposition principle, a framework of state value update algorithm is introdu...