Sensitive deep convolutional neural network for face recognition at large standoffs with small dataset.
Expert Systems with Applications（2017）
摘要
•Incorporation of sensitivity term in cost function of deep CNN structure.•Slight variations and high frequency components are emphasized by sensitivity term.•Sensitivity pushes samples at boundaries to high gradient part of activation.•Application to unconstrained environments with small sample size.
更多查看译文
关键词
Convolutional neural network,Gradient descent,Input-output mapping sensitivity error back propagation,Face recognition at long distances with small dataset,Sensitivity in cost function,Deep neural structures
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要