Every Model Learned by Gradient Descent Is Approximately a Kernel Machine

使用梯度下降优化的深度学习模型近似于核方法.

Unsupervised Adversarial Domain Adaptation for Micro-Doppler Based Human Activity Classification

将对抗域适应(ADA)应用于微多普勒人类活动分类.

Unsupervised Domain Adaptation for Micro-Doppler Human Motion Classification via Feature Fusion

将域适应(DA)应用于微多普勒人体运动分类.

Through-Wall Human Motion Recognition Based on Transfer Learning and Ensemble Learning

基于迁移学习和集成学习的穿墙人体运动识别.

Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network

通过多层次注意力域自适应网络进行跨区域的油棕树计数和检测.

Cross-Regional Oil Palm Tree Detection

跨区域的油棕树检测.