机译:人额识别:一种基于深度转移学习的近红外激光后向散射特征图像的新型生物特征识别方法
Univ Lubeck Inst Robot & Cognit Syst Ratzeburger Allee 160 Lubeck Germany|Univ Lubeck Grad Sch Comp Med & Life Sci Ratzeburger Allee 160 Lubeck Germany;
Univ Lubeck Inst Robot & Cognit Syst Ratzeburger Allee 160 Lubeck Germany;
biometrics (access control); image recognition; feature extraction; neural nets; object recognition; image classification; learning (artificial intelligence); novel biometric modality; near-infrared laser backscattering feature image; deep transfer learning; human recognition systems; identity verification; human body; biometric technology; security system complexity; forehead feature images; near-infrared laser scanning system; state-of-the-art deep convolutional neural networks; human forehead recognition task; large-scale training data; feature representation knowledge; transfer learning approach;
机译:人额头识别:基于使用深度传输学习的近红外激光反向散射特征图像的新型生物识别方式
机译:计算机辅助诊断基于超声成像数据的儿童肾脏和泌尿道先天性异常通过集成纹理图像特征和深度转移学习图像特征
机译:通过多特征深度学习网络和特征融合实现多模式生物识别
机译:基于深度转移学习的基于低空无人机影像的横断面地质特征识别
机译:基于特征融合和计算机视觉技术的人体生物特征验证和识别。
机译:基于深度转移学习的多特征子空间分布的车辆识别算法
机译:基于对抗性特征学习的半监督深度转移学习限制SAR目标识别